Proceedings of the 18th ACM International Conference on Information and Knowledge Management
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
EDIT!
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter

David Wai-Lok Cheung, Il-Yeol Song, Wesley W. Chu, Xiaohua Hu, Jimmy J. Lin
Proceedings of the 18th ACM International Conference on Information and Knowledge Management
CIKM, 2009.

KER
DBLP
Scholar
Full names Links ISxN
@proceedings{CIKM-2009,
	address       = "Hong Kong, China",
	editor        = "David Wai-Lok Cheung and Il-Yeol Song and Wesley W. Chu and Xiaohua Hu and Jimmy J. Lin",
	isbn          = "978-1-60558-512-3",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 18th ACM International Conference on Information and Knowledge Management}",
	year          = 2009,
}

Contents (335 items)

CIKM-2009-Whang #integration
DB-IR integration and its application to a massively-parallel search engine (KYW), pp. 1–2.
CIKM-2009-Chang
Confucius and “its” intelligent disciples (EYC), p. 3.
CIKM-2009-Yu
Advanced metasearch engines (CTY), p. 5.
CIKM-2009-LiuDRL #named #personalisation #trust
StereoTrust: a group based personalized trust model (XL, AD, KR, EPL), pp. 7–16.
CIKM-2009-KhareA #empirical #interface #markov #segmentation #using
An empirical study on using hidden markov model for search interface segmentation (RK, YA), pp. 17–26.
CIKM-2009-KatoOOT #query #relational #using #web
Query by analogical example: relational search using web search engine indices (MPK, HO, SO, KT), pp. 27–36.
CIKM-2009-WangHLS #comprehension #learning #query #semantics #web
Semi-supervised learning of semantic classes for query understanding: from the web and for the web (YYW, RH, XL, JS), pp. 37–46.
CIKM-2009-ZhengSWG #induction #performance
Efficient record-level wrapper induction (SZ, RS, JRW, CLG), pp. 47–56.
CIKM-2009-BeckerBGJP #web #what
What happens after an ad click?: quantifying the impact of landing pages in web advertising (HB, AZB, EG, VJ, BP), pp. 57–66.
CIKM-2009-AshkanC
Characterizing commercial intent (AA, CLAC), pp. 67–76.
CIKM-2009-HuangE #query #web
Analyzing and evaluating query reformulation strategies in web search logs (JH, ENE), pp. 77–86.
CIKM-2009-WhiteD #behaviour #predict
Characterizing and predicting search engine switching behavior (RWW, STD), pp. 87–96.
CIKM-2009-AlonsoGB #clustering #timeline #using
Clustering and exploring search results using timeline constructions (OA, MG, RABY), pp. 97–106.
CIKM-2009-TermehchyW #effectiveness #independence #keyword #xml
Effective, design-independent XML keyword search (AT, MW), pp. 107–116.
CIKM-2009-LiuMY #fuzzy #pattern matching #performance #xml
Efficient processing of twig pattern matching in fuzzy XML (JL, ZMM, LY), pp. 117–126.
CIKM-2009-NiC #xml
Dissemination of heterogeneous XML data in publish/subscibe systems (YN, CYC), pp. 127–136.
CIKM-2009-ColazzoGPS #linear #regular expression #xml
Linear inclusion for XML regular expression types (DC, GG, LP, CS), pp. 137–146.
CIKM-2009-LiuWC #effectiveness #ranking #retrieval #xml
Effective XML content and structure retrieval with relevance ranking (XL, CW, LC), pp. 147–156.
CIKM-2009-HsiaoC #image #ranking #retrieval
Intention-focused active reranking for image object retrieval (JHH, MSC), pp. 157–166.
CIKM-2009-DalviKPT
A translation model for matching reviews to objects (NND, RK, BP, AT), pp. 167–176.
CIKM-2009-PasternackR #learning
Learning better transliterations (JP, DR), pp. 177–186.
CIKM-2009-BaiWGCSQCW #semantics
Supervised semantic indexing (BB, JW, DG, RC, KS, YQ, OC, KQW), pp. 187–196.
CIKM-2009-GengYXH #adaptation #ranking
Ranking model adaptation for domain-specific search (BG, LY, CX, XSH), pp. 197–206.
CIKM-2009-KhaitanDGS #data-driven
Data-driven compound splitting method for english compounds in domain names (SK, AD, SG, AS), pp. 207–214.
CIKM-2009-HanZ #ambiguity #semantics #wiki
Named entity disambiguation by leveraging wikipedia semantic knowledge (XH, JZ), pp. 215–224.
CIKM-2009-VyasPC #editing #set
Helping editors choose better seed sets for entity set expansion (VV, PP, EC), pp. 225–234.
CIKM-2009-WimalasuriyaD #information management #multi #ontology #using
Using multiple ontologies in information extraction (DCW, DD), pp. 235–244.
CIKM-2009-LiuB #community #ranking
Computational community interest for ranking (XL, VvB), pp. 245–254.
CIKM-2009-LvZ #adaptation #feedback #information retrieval
Adaptive relevance feedback in information retrieval (YL, CZ), pp. 255–264.
CIKM-2009-CaoCCJZ #categorisation #modelling #retrieval #using
The use of categorization information in language models for question retrieval (XC, GC, BC, CSJ, CZ), pp. 265–274.
CIKM-2009-MaCQG #game studies #using
Improving search engines using human computation games (HM, RC, CQ, AG), pp. 275–284.
CIKM-2009-TangSB #string
Space-economical partial gram indices for exact substring matching (NT, LS, PAB), pp. 285–294.
CIKM-2009-MouzaLRS #algebra #n-gram #named #string #using
AS-index: a structure for string search using n-grams and algebraic signatures (CdM, WL, PR, TJES), pp. 295–304.
CIKM-2009-VriesKCC #array #robust #using
Robust record linkage blocking using suffix arrays (TdV, HK, SC, PC), pp. 305–314.
CIKM-2009-LuHM #algorithm #approximate #performance #using
Efficient algorithms for approximate member extraction using signature-based inverted lists (JL, JH, XM), pp. 315–324.
CIKM-2009-YuLC #approach #information management #probability
An integrated discriminative probabilistic approach to information extraction (XY, WL, BC), pp. 325–334.
CIKM-2009-GuoR #interactive #mining #query
Mining linguistic cues for query expansion: applications to drug interaction search (SG, NR), pp. 335–344.
CIKM-2009-ChenL #product line
Message family propagation for ising mean field based on iteration tree (YC, SL), pp. 345–354.
CIKM-2009-GaoW #generative #performance
Efficient itemset generator discovery over a stream sliding window (CG, JW), pp. 355–364.
CIKM-2009-Paranjpe #documentation #feedback #learning
Learning document aboutness from implicit user feedback and document structure (DP), pp. 365–374.
CIKM-2009-LinH #analysis #sentiment #topic
Joint sentiment/topic model for sentiment analysis (CL, YH), pp. 375–384.
CIKM-2009-KimZ #comparative #generative #summary
Generating comparative summaries of contradictory opinions in text (HDK, CZ), pp. 385–394.
CIKM-2009-ZhangYWGGBYS #documentation #mining #named #social #web
sDoc: exploring social wisdom for document enhancement in web mining (XZ, LY, XW, HG, ZG, SB, YY, ZS), pp. 395–404.
CIKM-2009-SahlgrenK #mining #social #social media
Terminology mining in social media (MS, JK), pp. 405–414.
CIKM-2009-HeYS #documentation #version control
Compact full-text indexing of versioned document collections (JH, HY, TS), pp. 415–424.
CIKM-2009-Baeza-YatesGJPT #multi #on the #web
On the feasibility of multi-site web search engines (RABY, AG, FJ, VP, LT), pp. 425–434.
CIKM-2009-GurajadaK #clustering #maintenance #online #using
On-line index maintenance using horizontal partitioning (SG, PSK), pp. 435–444.
CIKM-2009-AhlersB #adaptation #crawling
Adaptive geospatially focused crawling (DA, SB), pp. 445–454.
CIKM-2009-MargaritisA #low cost #online
Low-cost management of inverted files for online full-text search (GM, SVA), pp. 455–464.
CIKM-2009-LeeM #query #relational #xml
Bitmap indexes for relational XML twig query processing (KHL, BM), pp. 465–474.
CIKM-2009-WuTW #query #revisited #using #xml
Answering XML queries using materialized views revisited (XW, DT, WHW), pp. 475–484.
CIKM-2009-DriesNR #network #query
A query language for analyzing networks (AD, SN, LDR), pp. 485–494.
CIKM-2009-ChenLAA #image #learning #modelling #online #probability #topic
Probabilistic models for topic learning from images and captions in online biomedical literatures (XC, CL, YA, PA), pp. 495–504.
CIKM-2009-ChenWL #kernel #learning #novel #rank
Learning to rank with a novel kernel perceptron method (XwC, HW, XL), pp. 505–512.
CIKM-2009-MeloW #learning #towards
Towards a universal wordnet by learning from combined evidence (GdM, GW), pp. 513–522.
CIKM-2009-ChenR #analysis #detection
Event detection from flickr data through wavelet-based spatial analysis (LC, AR), pp. 523–532.
CIKM-2009-ShiWY #framework #named #recommendation #semantics
Msuggest: a semantic recommender framework for traditional chinese medicine book search engine (SS, BW, YY), pp. 533–542.
CIKM-2009-LiuZPQCL #analysis #interactive #summary #topic #visual notation
Interactive, topic-based visual text summarization and analysis (SL, MXZ, SP, WQ, WC, XL), pp. 543–552.
CIKM-2009-ZhaoHS #named #network #similarity
P-Rank: a comprehensive structural similarity measure over information networks (PZ, JH, YS), pp. 553–562.
CIKM-2009-SunMG #graph #independence #information retrieval #mining
Independent informative subgraph mining for graph information retrieval (BS, PM, CLG), pp. 563–572.
CIKM-2009-JinYW #classification #graph
Graph classification based on pattern co-occurrence (NJ, CY, WW), pp. 573–582.
CIKM-2009-ZouLGZ #graph #mining #nondeterminism
Frequent subgraph pattern mining on uncertain graph data (ZZ, JL, HG, SZ), pp. 583–592.
CIKM-2009-FeiH #graph #kernel
L2 norm regularized feature kernel regression for graph data (HF, JH), pp. 593–600.
CIKM-2009-ArmstrongMWZ #ad hoc #retrieval
Improvements that don’t add up: ad-hoc retrieval results since 1998 (TGA, AM, WW, JZ), pp. 601–610.
CIKM-2009-KanoulasA #empirical
Empirical justification of the gain and discount function for nDCG (EK, JAA), pp. 611–620.
CIKM-2009-ChapelleMZG #rank
Expected reciprocal rank for graded relevance (OC, DM, YZ, PG), pp. 621–630.
CIKM-2009-Azzopardi #effectiveness #information retrieval #metric #monitoring #performance
Usage based effectiveness measures: monitoring application performance in information retrieval (LA), pp. 631–640.
CIKM-2009-LiuLW #order
Post-rank reordering: resolving preference misalignments between search engines and end users (CL, ML, YMW), pp. 641–650.
CIKM-2009-BohmFOPW #probability #query
Probabilistic skyline queries (CB, FF, AO, CP, BW), pp. 651–660.
CIKM-2009-BohmNPW #clustering #using
Density-based clustering using graphics processors (CB, RN, CP, BW), pp. 661–670.
CIKM-2009-YangLJ #monitoring #scalability
Scalable continuous range monitoring of moving objects in symbolic indoor space (BY, HL, CSJ), pp. 671–680.
CIKM-2009-KementsietsidisW #evaluation #query #question #what
Provenance query evaluation: what’s so special about it? (AK, MW), pp. 681–690.
CIKM-2009-LeeLLZ #privacy
Navigational path privacy protection: navigational path privacy protection (KCKL, WCL, HVL, BZ), pp. 691–700.
CIKM-2009-DasdanDKD #automation #interface #query #retrieval #using
Automatic retrieval of similar content using search engine query interface (AD, PD, SK, CD), pp. 701–710.
CIKM-2009-RanganathanRU #information retrieval
Mashup-based information retrieval for domain experts (AR, AR, OU), pp. 711–720.
CIKM-2009-YangXBHSY #case study #cumulative #generative #information retrieval #social #using
A study of information retrieval on accumulative social descriptions using the generation features (LY, SX, SB, DH, ZS, YY), pp. 721–730.
CIKM-2009-ChenGWW #memory management #named
iMecho: an associative memory based desktop search system (JC, HG, WW, WW), pp. 731–740.
CIKM-2009-ShenLLZ #classification #query
Product query classification (DS, YL, XL, DZ), pp. 741–750.
CIKM-2009-SunCSSWL #learning #recommendation
Learning to recommend questions based on user ratings (KS, YC, XS, YIS, XW, CYL), pp. 751–758.
CIKM-2009-LiuZY #analysis #collaboration #probability
Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.
CIKM-2009-MaYKL #collaboration #consistency #matrix #statistics
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering (HM, HY, IK, MRL), pp. 767–776.
CIKM-2009-BoldiBCV #network #social
Voting in social networks (PB, FB, CC, SV), pp. 777–786.
CIKM-2009-YeungGS #collaboration
User-induced links in collaborative tagging systems (CmAY, NG, NS), pp. 787–796.
CIKM-2009-ArampatzisK #approach #normalisation
A signal-to-noise approach to score normalization (AA, JK), pp. 797–806.
CIKM-2009-ShiLMW #rank
Nonlinear static-rank computation (SS, BL, YM, JRW), pp. 807–816.
CIKM-2009-ZhuCZWWC #algorithm #ranking
A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.
CIKM-2009-KuoCW #learning #rank
Learning to rank from Bayesian decision inference (JWK, PJC, HMW), pp. 827–836.
CIKM-2009-Collins-Thompson #optimisation #query #robust
Reducing the risk of query expansion via robust constrained optimization (KCT), pp. 837–846.
CIKM-2009-GedikAW #approach #code generation #data type #distributed #optimisation
A code generation approach to optimizing high-performance distributed data stream processing (BG, HA, KLW), pp. 847–856.
CIKM-2009-LianC #data type #nondeterminism #performance
Efficient join processing on uncertain data streams (XL, LC), pp. 857–866.
CIKM-2009-PotamiasBCG #distance #estimation #network #performance #scalability
Fast shortest path distance estimation in large networks (MP, FB, CC, AG), pp. 867–876.
CIKM-2009-HaghaniMA #data type #query #semistructured data
Evaluating top-k queries over incomplete data streams (PH, SM, KA), pp. 877–886.
CIKM-2009-TaoO #data type #mining
Mining data streams with periodically changing distributions (YT, MTÖ), pp. 887–896.
CIKM-2009-RafieiBCP #database #information management
Information extraction meets relation databases (DR, AZB, EYC, PP), p. 897.
CIKM-2009-WhissellCA #clustering #query #web
Clustering web queries (JSW, CLAC, AA), pp. 899–908.
CIKM-2009-FigueiredoBPAGFMC #quality #web
Evidence of quality of textual features on the web 2.0 (FF, FB, HP, JMA, MAG, DFdO, ESdM, MC), pp. 909–918.
CIKM-2009-HuSZC #clustering #semantics #using
Exploiting internal and external semantics for the clustering of short texts using world knowledge (XH, NS, CZ, TSC), pp. 919–928.
CIKM-2009-QiuZHZ #classification #named #self #sentiment
SELC: a self-supervised model for sentiment classification (LQ, WZ, CH, KZ), pp. 929–936.
CIKM-2009-HeLL #graph #learning
Graph-based transfer learning (JH, YL, RDL), pp. 937–946.
CIKM-2009-HuangC #retrieval
A unified relevance model for opinion retrieval (XH, WBC), pp. 947–956.
CIKM-2009-HeCPQMG #detection #evolution #how #question #topic
Detecting topic evolution in scientific literature: how can citations help? (QH, BC, JP, BQ, PM, CLG), pp. 957–966.
CIKM-2009-ChenCSLZ #information retrieval #mobile #network #peer-to-peer #performance
Efficient information retrieval in mobile peer-to-peer networks (LC, BC, HTS, WL, XZ), pp. 967–976.
CIKM-2009-ElbassuoniRSSW #query #ranking
Language-model-based ranking for queries on RDF-graphs (SE, MR, RS, MS, GW), pp. 977–986.
CIKM-2009-WangTFCYL #ranking
Heterogeneous cross domain ranking in latent space (BW, JT, WF, SC, ZY, YL), pp. 987–996.
CIKM-2009-ChuiLKH #query #ranking #sequence
Supporting ranking pattern-based aggregate queries in sequence data cubes (CKC, EL, BK, WSH), pp. 997–1006.
CIKM-2009-ZhangMCM #fuzzy #learning #ontology #semantics #uml #web
Fuzzy semantic web ontology learning from fuzzy UML model (FZ, ZMM, JC, XM), pp. 1007–1016.
CIKM-2009-MadduriW #performance
Efficient joins with compressed bitmap indexes (KM, KW), pp. 1017–1026.
CIKM-2009-HassanzadehKLMW #framework #relational #semantics
A framework for semantic link discovery over relational data (OH, AK, LL, RJM, MW), pp. 1027–1036.
CIKM-2009-DewriRRW #identification #named
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice (RD, IR, IR, DW), pp. 1037–1046.
CIKM-2009-ChenPBSM #data mining #exclamation #lessons learnt #mining
Practical lessons of data mining at Yahoo! (YC, DP, PB, AS, AM), pp. 1047–1056.
CIKM-2009-PitonBBG #data mining #mining
Domain driven data mining to improve promotional campaign ROI and select marketing channels (TP, JB, HB, FG), pp. 1057–1066.
CIKM-2009-PenevW #framework #mobile
Framework for timely and accurate ads on mobile devices (AP, RKW), pp. 1067–1076.
CIKM-2009-KimPDG #classification #graph #web
Improving web page classification by label-propagation over click graphs (SMK, PP, LD, SG), pp. 1077–1086.
CIKM-2009-GuoZGZS #categorisation #multi #semantics
Product feature categorization with multilevel latent semantic association (HG, HZ, ZG, XZ, ZS), pp. 1087–1096.
CIKM-2009-WestPP #reduction #wiki
Completing wikipedia’s hyperlink structure through dimensionality reduction (RW, DP, JP), pp. 1097–1106.
CIKM-2009-TangL #behaviour #learning #scalability #social
Scalable learning of collective behavior based on sparse social dimensions (LT, HL), pp. 1107–1116.
CIKM-2009-LiBS #analysis #predict
Blog cascade affinity: analysis and prediction (HL, SSB, AS), pp. 1117–1126.
CIKM-2009-RodriguesM #community #social
Socializing or knowledge sharing?: characterizing social intent in community question answering (EMR, NMF), pp. 1127–1136.
CIKM-2009-PhamRMSB #sequence #summary
Time sequence summarization to scale up chronology-dependent applications (QKP, GR, NM, RSP, BB), pp. 1137–1146.
CIKM-2009-LeeuwenBSS
Compressing tags to find interesting media groups (MvL, FB, BS, AS), pp. 1147–1156.
CIKM-2009-YuOH #performance #ranking
Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.
CIKM-2009-HalimKY #effectiveness #performance
Fast and effective histogram construction (FH, PK, RHCY), pp. 1167–1176.
CIKM-2009-ParekhHRWW #challenge #experience #resource management
Characterizing, constructing and managing resource usage profiles of system S applications: challenges and experience (SP, KH, DR, JLW, KLW), pp. 1177–1186.
CIKM-2009-NicolaK #generative #query #sql #xml
Generating SQL/XML query and update statements (MN, TK), pp. 1187–1196.
CIKM-2009-ViyanonM #database #detection #relational #similarity #using #xml
A system for detecting xml similarity in content and structure using relational database (WV, SKM), pp. 1197–1206.
CIKM-2009-SayeedSDHMR #analysis #documentation #metric #similarity
Characteristics of document similarity measures for compliance analysis (ABS, SS, YD, RH, RM, NR), pp. 1207–1216.
CIKM-2009-CaoSXHYC #classification #named #personalisation #query
PQC: personalized query classification (BC, JTS, EWX, DHH, QY, ZC), pp. 1217–1226.
CIKM-2009-CarmelZGOHRUYC #network #personalisation #social
Personalized social search based on the user’s social network (DC, NZ, IG, SOK, NH, IR, EU, SY, SC), pp. 1227–1236.
CIKM-2009-WangTSZ #effectiveness
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing (XW, BT, AS, CZ), pp. 1237–1246.
CIKM-2009-XinKDL #framework #multi #random #recommendation #social
A social recommendation framework based on multi-scale continuous conditional random fields (XX, IK, HD, MRL), pp. 1247–1256.
CIKM-2009-CaoCYX #recommendation
Enhancing recommender systems under volatile userinterest drifts (HC, EC, JY, HX), pp. 1257–1266.
CIKM-2009-LeeCKC #approach #dependence #query #ranking
A term dependency-based approach for query terms ranking (CJL, RCC, SHK, PJC), pp. 1267–1276.
CIKM-2009-ArguelloCD #classification
Classification-based resource selection (JA, JC, FD), pp. 1277–1286.
CIKM-2009-CarteretteC #documentation #modelling #novel #probability #ranking #retrieval #topic
Probabilistic models of ranking novel documents for faceted topic retrieval (BC, PC), pp. 1287–1296.
CIKM-2009-KimC #pseudo #retrieval #using
Retrieval experiments using pseudo-desktop collections (JK, WBC), pp. 1297–1306.
CIKM-2009-FengA #thread
Incident threading for news passages (AF, JA), pp. 1307–1316.
CIKM-2009-GunnemannMFS #concept #detection #orthogonal
Detection of orthogonal concepts in subspaces of high dimensional data (SG, EM, IF, TS), pp. 1317–1326.
CIKM-2009-QuanzH #learning #scalability
Large margin transductive transfer learning (BQ, JH), pp. 1327–1336.
CIKM-2009-GuZ #clustering
Subspace maximum margin clustering (QG, JZ), pp. 1337–1346.
CIKM-2009-LongLVZT #adaptation #framework
A risk minimization framework for domain adaptation (BL, SL, SV, YZ, BLT), pp. 1347–1356.
CIKM-2009-JiYLZFC #named #novel #online
ExSearch: a novel vertical search engine for online barter business (LJ, JY, NL, WZ, WF, ZC), pp. 1357–1366.
CIKM-2009-MaHR #framework #incremental #mobile #named #predict
iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors (YM, RH, DR), pp. 1367–1376.
CIKM-2009-WuB #predict #probability
Predicting the conversion probability for items on C2C ecommerce sites (XW, AB), pp. 1377–1386.
CIKM-2009-ParkG #automation #metric #realtime #towards #using
Towards real-time measurement of customer satisfaction using automatically generated call transcripts (YP, SCG), pp. 1387–1396.
CIKM-2009-ZhangXSYD #evaluation #learning #named
ROSE: retail outlet site evaluation by learning with both sample and feature preference (BZ, MX, JYS, WJY, JD), pp. 1397–1404.
CIKM-2009-ZhongL #graph #named #semistructured data
3se: a semi-structured search engine for heterogeneous data in graph model (MZ, ML), pp. 1405–1408.
CIKM-2009-WangYPL
Minimal common container of tree patterns (JW, JXY, CP, CL), pp. 1409–1412.
CIKM-2009-GuYGC #data type #probability #query
Probabilistic moving range query over RFID spatio-temporal data streams (YG, GY, NG, YC), pp. 1413–1416.
CIKM-2009-BarskySTU #scalability #sequence
Suffix trees for very large genomic sequences (MB, US, AT, CU), pp. 1417–1420.
CIKM-2009-SongC #dependence
Discovering matching dependencies (SS, LC), pp. 1421–1424.
CIKM-2009-WuBY #xml
Workload-aware trie indices for XML (YW, SB, HY), pp. 1425–1428.
CIKM-2009-StoyanovichA #clustering #dataset
Rank-aware clustering of structured datasets (JS, SAY), pp. 1429–1432.
CIKM-2009-LukYL #query #relational
Group-by skyline query processing in relational engines (MHL, MLY, EL), pp. 1433–1436.
CIKM-2009-LiM #query
Supporting context-based query in personal DataSpace (YL, XM), pp. 1437–1440.
CIKM-2009-MohammedFD #analysis
Walking in the crowd: anonymizing trajectory data for pattern analysis (NM, BCMF, MD), pp. 1441–1444.
CIKM-2009-ChenLY #evaluation #maintenance #network #query
Progressive skyline query evaluation and maintenance in wireless sensor networks (BC, WL, JXY), pp. 1445–1448.
CIKM-2009-DaiZ #constraints #distance #edit distance #incremental #similarity
Incremental similarity joins with edit distance constraints (DD, GZ), pp. 1449–1452.
CIKM-2009-LiFW #database #keyword
Structure-aware indexing for keyword search in databases (GL, JF, JW), pp. 1453–1456.
CIKM-2009-DaM #named #optimisation #random
RS-Wrapper: random write optimization for solid state drive (DZ, XM), pp. 1457–1460.
CIKM-2009-ZhuWZ #learning
Label correspondence learning for part-of-speech annotation transformation (MZ, HW, JZ), pp. 1461–1464.
CIKM-2009-HongHVAA #effectiveness #query
Effective anonymization of query logs (YH, XH, JV, NRA, VA), pp. 1465–1468.
CIKM-2009-ParateM #communication #framework
A framework for safely publishing communication traces (AP, GM), pp. 1469–1472.
CIKM-2009-AnWZH #database #scalability
Diverging patterns: discovering significant frequency change dissimilarities in large databases (AA, QW, JZ, XH), pp. 1473–1476.
CIKM-2009-SunDML
Matching stream patterns of various lengths and tolerances (HS, KD, FM, JL), pp. 1477–1480.
CIKM-2009-ChengKN #graph #performance #query #scalability
Efficient processing of group-oriented connection queries in a large graph (JC, YK, WN), pp. 1481–1484.
CIKM-2009-NaLM
Dynamic in-page logging for flash-aware B-tree index (GJN, SWL, BM), pp. 1485–1488.
CIKM-2009-DoulkeridisVNKV #distributed #multi #performance #query
Multidimensional routing indices for efficient distributed query processing (CD, AV, KN, YK, MV), pp. 1489–1492.
CIKM-2009-HeZSC #clustering #data type #multi #query #rank
Cluster based rank query over multidimensional data streams (DH, YZ, LS, GC), pp. 1493–1496.
CIKM-2009-XuWYF #online #personalisation #web #web service
Online anonymity for personalized web services (YX, KW, GY, AWCF), pp. 1497–1500.
CIKM-2009-BhowmickDLN #evaluation #towards #xpath
Towards non-directional Xpath evaluation in a RDBMS (SSB, CED, EL, ZN), pp. 1501–1504.
CIKM-2009-LimWW #challenge #database #problem #query #semantics
Semantic queries in databases: problems and challenges (LL, HW, MW), pp. 1505–1508.
CIKM-2009-BjorklundGGT
Inverted indexes vs. bitmap indexes in decision support systems (TAB, NG, JG, ØT), pp. 1509–1512.
CIKM-2009-FletcherB #graph #performance #rdf #scalability
Scalable indexing of RDF graphs for efficient join processing (GHLF, PWB), pp. 1513–1516.
CIKM-2009-Duan #privacy
Privacy without noise (YD), pp. 1517–1520.
CIKM-2009-TaoO09a #data type #mining
Mining frequent itemsets in time-varying data streams (YT, MTÖ), pp. 1521–1524.
CIKM-2009-GaoXCA #monitoring #problem #web
The gardener’s problem for web information monitoring (BJG, MX, WC, DCA), pp. 1525–1528.
CIKM-2009-YoonSKP #community
Extraction of a latent blog community based on subject (SHY, JHS, SWK, SP), pp. 1529–1532.
CIKM-2009-ChangYQ #documentation #ranking
Context-sensitive document ranking (LC, JXY, LQ), pp. 1533–1536.
CIKM-2009-DuchateauCBM
(Not) yet another matcher (FD, RC, ZB, RJM), pp. 1537–1540.
CIKM-2009-SunWL #injection #trust
Injecting purpose and trust into data anonymisation (XS, HW, JL), pp. 1541–1544.
CIKM-2009-LuCP #clustering #network #social #web
Exploit the tripartite network of social tagging for web clustering (CL, XC, EKP), pp. 1545–1548.
CIKM-2009-BaiZXZSTZC #learning #multi #rank #web
Multi-task learning for learning to rank in web search (JB, KZ, GRX, HZ, GS, BLT, ZZ, YC), pp. 1549–1552.
CIKM-2009-MisraYJC #modelling #segmentation #topic
Text segmentation via topic modeling: an analytical study (HM, FY, JMJ, OC), pp. 1553–1556.
CIKM-2009-WeiLWH #framework #interactive #named #ranking #summary
iRANK: an interactive ranking framework and its application in query-focused summarization (FW, WL, WW, YH), pp. 1557–1560.
CIKM-2009-Shi #adaptation #information retrieval #mining #web
Adaptive web mining of bilingual lexicons for cross language information retrieval (LS), pp. 1561–1564.
CIKM-2009-ChristenGH #realtime
Similarity-aware indexing for real-time entity resolution (PC, RWG, DH), pp. 1565–1568.
CIKM-2009-LiuZSNW #clustering #documentation #query #ranking
Clustering queries for better document ranking (YL, LZ, RS, JYN, JRW), pp. 1569–1572.
CIKM-2009-ZhaoC #effectiveness #performance #retrieval
Effective and efficient structured retrieval (LZ, JC), pp. 1573–1576.
CIKM-2009-CarmelRY #framework
Who tags the tags?: a framework for bookmark weighting (DC, HR, EYT), pp. 1577–1580.
CIKM-2009-KanungoGKW #algorithm #summary #user satisfaction #web
Web search result summarization: title selection algorithms and user satisfaction (TK, NG, KYK, LW), pp. 1581–1584.
CIKM-2009-WeiPTLD #query #web
Context sensitive synonym discovery for web search queries (XW, FP, HT, YL, BD), pp. 1585–1588.
CIKM-2009-TakamuraO #modelling #problem #summary
Text summarization model based on the budgeted median problem (HT, MO), pp. 1589–1592.
CIKM-2009-ChenLQZ #classification
Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.
CIKM-2009-KrikonKB #ranking
Utilizing inter-passage and inter-document similarities for re-ranking search results (EK, OK, MB), pp. 1597–1600.
CIKM-2009-ChenBRT #adaptation #effectiveness #on the #similarity
On domain similarity and effectiveness of adapting-to-rank (KC, JB, SR, BLT), pp. 1601–1604.
CIKM-2009-AlgarniLXL #effectiveness #feedback #information management #using
An effective model of using negative relevance feedback for information filtering (AA, YL, YX, RYKL), pp. 1605–1608.
CIKM-2009-Wan #analysis #multi #summary #topic
Topic analysis for topic-focused multi-document summarization (XW), pp. 1609–1612.
CIKM-2009-LinLK #named #novel #similarity
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching (ZL, MRL, IK), pp. 1613–1616.
CIKM-2009-FernandezL #retrieval #using
Using opinion-based features to boost sentence retrieval (RTF, DEL), pp. 1617–1620.
CIKM-2009-WichterichBSS #database #distance #feedback #multi
Exploring multimedia databases via optimization-based relevance feedback and the earth mover’s distance (MW, CB, MS, TS), pp. 1621–1624.
CIKM-2009-GobelHNB #hybrid
A hybrid index structure for geo-textual searches (RG, AH, RN, DB), pp. 1625–1628.
CIKM-2009-LiaoM #documentation #re-engineering
Feature engineering on event-centric surrogate documents to improve search results (WL, IM), pp. 1629–1632.
CIKM-2009-HungP #clustering #network #predict
Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKM-2009-ShenWCSYCL #classification
Exploiting term relationship to boost text classification (DS, JW, BC, JTS, QY, ZC, YL), pp. 1637–1640.
CIKM-2009-HolzeGR #classification #consistency #online
Consistent on-line classification of dbs workload events (MH, CG, NR), pp. 1641–1644.
CIKM-2009-XiaYZ #automation #using #web
Automatic web data extraction using tree alignment (YX, HY, SZ), pp. 1645–1648.
CIKM-2009-KriegelKSZ #named
LoOP: local outlier probabilities (HPK, PK, ES, AZ), pp. 1649–1652.
CIKM-2009-KasneciEW #mining #named
MING: mining informative entity relationship subgraphs (GK, SE, GW), pp. 1653–1656.
CIKM-2009-YapB #learning
Experiments on pattern-based relation learning (WY, TB), pp. 1657–1660.
CIKM-2009-JainP #identification #web
Identifying comparable entities on the web (AJ, PP), pp. 1661–1664.
CIKM-2009-QianNZ #multi #performance
Efficient multi-class unlabeled constrained semi-supervised SVM (MQ, FN, CZ), pp. 1665–1668.
CIKM-2009-HuL #modelling
Modeling context-dependent information (JH, ML), pp. 1669–1672.
CIKM-2009-TongQJF #graph #interactive #named #performance #proximity #query
iPoG: fast interactive proximity querying on graphs (HT, HQ, HJ, CF), pp. 1673–1676.
CIKM-2009-MabroukehE #mining #ontology #predict #semantics #using #web
Using domain ontology for semantic web usage mining and next page prediction (NRM, CIE), pp. 1677–1680.
CIKM-2009-AchananuparpYC #using
Using negative voting to diversify answers in non-factoid question answering (PA, CCY, XC), pp. 1681–1684.
CIKM-2009-LaberSJACRTV #performance
A fast and simple method for extracting relevant content from news webpages (ESL, CPdS, IVJ, ECFdA, ETC, RPR, LCT, CDV), pp. 1685–1688.
CIKM-2009-IslamI #set #using #web
Real-word spelling correction using Google web 1Tn-gram data set (AI, DI), pp. 1689–1692.
CIKM-2009-FengXYZL #ambiguity #scalability #web
Acronym extraction and disambiguation in large-scale organizational web pages (SF, YX, CY, LZ, WL), pp. 1693–1696.
CIKM-2009-KarimzadehganZ #multi #overview
Constrained multi-aspect expertise matching for committee review assignment (MK, CZ), pp. 1697–1700.
CIKM-2009-GardnerX #approach #automation #detection #sequence
Automatic link detection: a sequence labeling approach (JJG, LX), pp. 1701–1704.
CIKM-2009-WangZZ #named
MagicCube: choosing the best snippet for each aspect of an entity (YW, LZ, YZ), pp. 1705–1708.
CIKM-2009-GwaderaC #mining #ranking #using
Mining and ranking streams of news stories using cross-stream sequential patterns (RG, FC), pp. 1709–1712.
CIKM-2009-PopescuGM #mining
Mining tourist information from user-supplied collections (AP, GG, PAM), pp. 1713–1716.
CIKM-2009-LiuZ #classification #sentiment #using
Cross-domain sentiment classification using a two-stage method (KL, JZ), pp. 1717–1720.
CIKM-2009-ParkR #analysis #information retrieval #kernel #semantics #using
Kernel latent semantic analysis using an information retrieval based kernel (LAFP, KR), pp. 1721–1724.
CIKM-2009-HofmannTMR #documentation
The impact of document structure on keyphrase extraction (KH, MT, EM, MdR), pp. 1725–1728.
CIKM-2009-KuttyNL #approach #clustering #documentation #named #using #xml
XCFS: an XML documents clustering approach using both the structure and the content (SK, RN, YL), pp. 1729–1732.
CIKM-2009-DengKL #retrieval #using
Enhancing expertise retrieval using community-aware strategies (HD, IK, MRL), pp. 1733–1736.
CIKM-2009-QiCKKW #learning
Combining labeled and unlabeled data with word-class distribution learning (YQ, RC, PPK, KK, JW), pp. 1737–1740.
CIKM-2009-RachakondaS #topic #using
Finding the topical anchors of a context using lexical cooccurrence data (ARR, SS), pp. 1741–1744.
CIKM-2009-DaiD #web
Vetting the links of the web (ND, BDD), pp. 1745–1748.
CIKM-2009-DuT #sentiment
Building domain-oriented sentiment lexicon by improved information bottleneck (WD, ST), pp. 1749–1752.
CIKM-2009-CerfMB
Agglomerating local patterns hierarchically with ALPHA (LC, PNM, JFB), pp. 1753–1756.
CIKM-2009-SongPLZQ #keyword #modelling #ranking #topic
Topic and keyword re-ranking for LDA-based topic modeling (YS, SP, SL, MXZ, WQ), pp. 1757–1760.
CIKM-2009-ChokG #framework #mining #network #realtime
Spatio-temporal association rule mining framework for real-time sensor network applications (HC, LG), pp. 1761–1764.
CIKM-2009-TsagkiasWR #online #predict
Predicting the volume of comments on online news stories (MT, WW, MdR), pp. 1765–1768.
CIKM-2009-PattanasriMM #comprehension #graph #named #random
ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph (NP, MM, MM), pp. 1769–1772.
CIKM-2009-BalachandranPK #clustering #configuration management #dataset #documentation
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules (VB, DP, DK), pp. 1773–1776.
CIKM-2009-DasguptaBL #framework #named #ontology #retrieval #web #web service
CAOFES: an ontological framework for web service retrieval (SD, SB, YL), pp. 1777–1782.
CIKM-2009-GargS #classification #learning
Active learning in partially supervised classification (PG, SS), pp. 1783–1786.
CIKM-2009-LinEF #identification #web
Identifying interesting assertions from the web (TL, OE, JF), pp. 1787–1790.
CIKM-2009-KobayakawaKTOKT #analysis #classification #kernel #using
Opinion classification with tree kernel SVM using linguistic modality analysis (TSK, TK, HT, NO, JDK, JT), pp. 1791–1794.
CIKM-2009-WuZH #clustering
Fragment-based clustering ensembles (OW, MZ, WH), pp. 1795–1798.
CIKM-2009-ZhuWTZ #multi
Multi-aspect opinion polling from textual reviews (JZ, HW, BKT, MZ), pp. 1799–1802.
CIKM-2009-FanC
Blogger-centric contextual advertising (TKF, CHC), pp. 1803–1806.
CIKM-2009-ChenTJ #classification #detection #framework #social #social media #web
A co-classification framework for detecting web spam and spammers in social media web sites (FC, PNT, AKJ), pp. 1807–1810.
CIKM-2009-SvoreB #approach #machine learning #retrieval
A machine learning approach for improved BM25 retrieval (KMS, CJCB), pp. 1811–1814.
CIKM-2009-LiuH #evaluation #incremental #query
Incremental query evaluation for support vector machines (DL, KAH), pp. 1815–1818.
CIKM-2009-XuFZH #feature model #orthogonal #using
To obtain orthogonal feature extraction using training data selection (YX, SF, JZ, OH), pp. 1819–1822.
CIKM-2009-BanerjeeCDMJNRM #social #social media
User interests in social media sites: an exploration with micro-blogs (NB, DC, KD, SM, AJ, SN, AR, SM), pp. 1823–1826.
CIKM-2009-JiaYM #analysis #effectiveness #retrieval #sentiment
The effect of negation on sentiment analysis and retrieval effectiveness (LJ, CTY, WM), pp. 1827–1830.
CIKM-2009-MasadaFTHSO #analysis #optimisation #topic
Dynamic hyperparameter optimization for bayesian topical trend analysis (TM, DF, AT, TH, YS, KO), pp. 1831–1834.
CIKM-2009-GaoLMWL #framework #markov
A general markov framework for page importance computation (BG, TYL, ZM, TW, HL), pp. 1835–1838.
CIKM-2009-ZhangJZZ #bidirectional #detection
Exploiting bidirectional links: making spamming detection easier (YZ, QJ, LZ, YZ), pp. 1839–1842.
CIKM-2009-QianLLXSS #community #development #topic #what
What’s behind topic formation and development: a perspective of community core groups (TQ, QL, BL, HX, JS, PCYS), pp. 1843–1846.
CIKM-2009-CenLZZRM
Exploring relevance for clicks (RC, YL, MZ, BZ, LR, SM), pp. 1847–1850.
CIKM-2009-WangCH #algorithm #clustering #performance #scalability #topic #web
An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
CIKM-2009-WangWLL #named #query #ranking #summary
HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization (WW, FW, WL, SL), pp. 1855–1858.
CIKM-2009-HauffHJA #estimation #ranking #set #topic
Relying on topic subsets for system ranking estimation (CH, DH, FdJ, LA), pp. 1859–1862.
CIKM-2009-BashirR #clustering #documentation #feedback #pseudo
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection (SB, AR), pp. 1863–1866.
CIKM-2009-CetintasSY #learning #query
Learning from past queries for resource selection (SC, LS, HY), pp. 1867–1870.
CIKM-2009-SunMG09a #graph #learning #online #rank
Learning to rank graphs for online similar graph search (BS, PM, CLG), pp. 1871–1874.
CIKM-2009-GongWO
Matching person names through name transformation (JG, LW, DWO), pp. 1875–1878.
CIKM-2009-WangML #learning #programming #question #rank #search-based #using
Learning to rank using evolutionary computation: immune programming or genetic programming? (SW, JM, JL), pp. 1879–1882.
CIKM-2009-ZhuCWZWC #divide and conquer #learning #query #ranking
To divide and conquer search ranking by learning query difficulty (ZAZ, WC, TW, CZ, GW, ZC), pp. 1883–1886.
CIKM-2009-KurasawaFTA #clustering #metric #similarity
Maximal metric margin partitioning for similarity search indexes (HK, DF, AT, JA), pp. 1887–1890.
CIKM-2009-SunLL #case study #category theory #classification #performance #predict #what
What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.
CIKM-2009-LvZ09a #case study #comparative #feedback #modelling #pseudo #query
A comparative study of methods for estimating query language models with pseudo feedback (YL, CZ), pp. 1895–1898.
CIKM-2009-AgarwalGHJK
Translating relevance scores to probabilities for contextual advertising (DA, EG, RH, VJ, RK), pp. 1899–1902.
CIKM-2009-MeijWR #modelling #normalisation #query
A query model based on normalized log-likelihood (EM, WW, MdR), pp. 1903–1906.
CIKM-2009-SeoCS #community #concurrent #online #thread #using
Online community search using thread structure (JS, WBC, DAS), pp. 1907–1910.
CIKM-2009-MomtaziK #approach #clustering #modelling #retrieval #word
A word clustering approach for language model-based sentence retrieval in question answering systems (SM, DK), pp. 1911–1914.
CIKM-2009-BertholdBKMNT
Pure spreading activation is pointless (MRB, UB, TK, MM, UN, KT), pp. 1915–1918.
CIKM-2009-BiSK #collaboration #resource management #social
Collaborative resource discovery in social tagging systems (BB, LS, BK), pp. 1919–1922.
CIKM-2009-WuCZZ #approach #definite clause grammar #learning #novel #rank #using
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions (MW, YC, ZZ, HZ), pp. 1923–1926.
CIKM-2009-AnastasakosHKR #approach #collaboration #graph #recommendation #using
A collaborative filtering approach to ad recommendation using the query-ad click graph (TA, DH, SK, HR), pp. 1927–1930.
CIKM-2009-PuH #clustering #feedback #pseudo #semantics #using
Pseudo relevance feedback using semantic clustering in relevance language model (QP, DH), pp. 1931–1934.
CIKM-2009-ElliottJ #personalisation #retrieval
A proactive personalised retrieval system (DE, JMJ), pp. 1935–1938.
CIKM-2009-RafieiL #query #using #web
Data extraction from the web using wild card queries (DR, HL), pp. 1939–1942.
CIKM-2009-HuangSN #documentation #graph #word
Smoothing document language model with local word graph (YH, LS, JYN), pp. 1943–1946.
CIKM-2009-BaragliaCDNPS #graph #query
Aging effects on query flow graphs for query suggestion (RB, CC, DD, FMN, RP, FS), pp. 1947–1950.
CIKM-2009-AltingovdeOU #query #web
Exploiting query views for static index pruning in web search engines (ISA, RO, ÖU), pp. 1951–1954.
CIKM-2009-PinchakRL #information retrieval #type system
Answer typing for information retrieval (CP, DR, DL), pp. 1955–1958.
CIKM-2009-CaoQCS #feedback #query
Exploring path query results through relevance feedback (HC, YQ, KSC, MLS), pp. 1959–1962.
CIKM-2009-WangZLG #comparative #documentation #summary
Comparative document summarization via discriminative sentence selection (DW, SZ, TL, YG), pp. 1963–1966.
CIKM-2009-ZhengDG #crawling #graph
Graph-based seed selection for web-scale crawlers (SZ, PD, CLG), pp. 1967–1970.
CIKM-2009-LeeNL #approach #feedback #retrieval #using
An improved feedback approach using relevant local posts for blog feed retrieval (YL, SHN, JHL), pp. 1971–1974.
CIKM-2009-ClinchantG #constraints #information retrieval #word
Retrieval constraints and word frequency distributions: a log-logistic model for IR (SC, ÉG), pp. 1975–1978.
CIKM-2009-MassSS #effectiveness #network #scalability
A scalable and effective full-text search in P2P networks (YM, YS, MSS), pp. 1979–1982.
CIKM-2009-MacdonaldO #documentation #ranking
The influence of the document ranking in expert search (CM, IO), pp. 1983–1986.
CIKM-2009-AgarwalKLCGGHRS #normalisation #web
URL normalization for de-duplication of web pages (AA, HSK, KPL, KPC, SG, PKG, CH, AR, AS), pp. 1987–1990.
CIKM-2009-MeiKKT #analysis #framework #sequence
An analysis framework for search sequences (QM, KLK, RK, AT), pp. 1991–1994.
CIKM-2009-MarinFMGC #query #web
Location cache for web queries (MM, FF, MM, CGP, VGC), pp. 1995–1998.
CIKM-2009-PengMHO #case study #enterprise
A study of selective collection enrichment for enterprise search (JP, CM, BH, IO), pp. 1999–2002.
CIKM-2009-BhatiaLM #generative
Generating synopses for document-element search (SB, SL, PM), pp. 2003–2006.
CIKM-2009-LiLJZCD #evaluation #ranking #robust #web
Incorporating robustness into web ranking evaluation (XL, FL, SJ, ZZ, YC, AD), pp. 2007–2010.
CIKM-2009-HeO #documentation #feedback
Finding good feedback documents (BH, IO), pp. 2011–2014.
CIKM-2009-ChinavleKOF #classification
Ensembles in adversarial classification for spam (DC, PK, TO, TF), pp. 2015–2018.
CIKM-2009-MartineauFJP #classification #difference #problem #using #word
Improving binary classification on text problems using differential word features (JM, TF, AJ, SP), pp. 2019–2024.
CIKM-2009-PanCASD #feature model #ranking #using
Feature selection for ranking using boosted trees (FP, TC, DA, FS, GD), pp. 2025–2028.
CIKM-2009-HeZL #comparison #evaluation #retrieval
Evaluation of methods for relative comparison of retrieval systems based on clickthroughs (JH, CZ, XL), pp. 2029–2032.
CIKM-2009-LeeVRKMI #adaptation #performance #topic #using
Measuring system performance and topic discernment using generalized adaptive-weight mean (CTL, VV, EMR, GK, NMF, AI), pp. 2033–2036.
CIKM-2009-XueC #automation #generative #query
Automatic query generation for patent search (XX, WBC), pp. 2037–2040.
CIKM-2009-BatalH #classification #using
Boosting KNN text classification accuracy by using supervised term weighting schemes (IB, MH), pp. 2041–2044.
CIKM-2009-ZhuM #analysis #identification #multi
Multidimensional political spectrum identification and analysis (LZ, PM), pp. 2045–2048.
CIKM-2009-BalasubramanianC #automation #generative #modelling #topic #using
Automatic generation of topic pages using query-based aspect models (NB, SC), pp. 2049–2052.
CIKM-2009-Jarvelin #feedback #interactive
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments (KJ), pp. 2053–2056.
CIKM-2009-NakataniJT #towards #web
Easiest-first search: towards comprehension-based web search (MN, AJ, KT), pp. 2057–2060.
CIKM-2009-YeCCZ #distributed #probability
Stochastic gradient boosted distributed decision trees (JY, JHC, JC, ZZ), pp. 2061–2064.
CIKM-2009-ParkSNL #multi #named #query
M-COPE: a multiple continuous query processing engine (HKP, SJS, SHN, WSL), pp. 2065–2066.
CIKM-2009-WooSYL #data type #named
DS-Cuber: an integrated OLAP environment for data streams (HJW, SJS, WSY, WSL), pp. 2067–2068.
CIKM-2009-SioutasPSTM #architecture #distributed #novel
A novel distributed P2P simulator architecture: D-P2P-sim (SS, GP, ES, KT, YM), pp. 2069–2070.
CIKM-2009-WangRKH #middleware
Demonstration of an RFID middleware: LIT ALE manager (QW, WR, SK, BH), pp. 2071–2072.
CIKM-2009-Garcia-AlvaradoCO #library
OLAP with UDFs in digital libraries (CGA, ZC, CO), pp. 2073–2074.
CIKM-2009-Moussa #database #distributed #implementation #middleware
HDDBrs middleware for implementing highly available distributed databases (RM), pp. 2075–2076.
CIKM-2009-XiongLZLFZZ #classification #information management #named #online #web
OfCourse: web content discovery, classification and information extraction for online course materials (YX, PL, YZ, FL, SF, BZ, LZ), pp. 2077–2078.
CIKM-2009-DuchateauCBM09a #named
YAM: a schema matcher factory (FD, RC, ZB, RJM), pp. 2079–2080.
CIKM-2009-VienVCYKC #kernel #locality #named #using #visualisation
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels (NAV, NHV, TC, HY, SK, BHC), pp. 2081–2082.
CIKM-2009-GroppeGSL #database #named #semantics #web
LuposDate: a semantic web database system (JG, SG, AS, VL), pp. 2083–2084.
CIKM-2009-YaoHC #collaboration #taxonomy
Constructing evolutionary taxonomy of collaborative tagging systems (JY, YH, BC), pp. 2085–2086.
CIKM-2009-ChoiSCSC #distributed #evaluation #named #parallel #rdf #scalability
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data (HC, JS, YC, MKS, YDC), pp. 2087–2088.
CIKM-2009-LeeLKL #mobile #named #web
AnchorWoman: top-k structured mobile web search engine (WL, JJHL, YKK, CKSL), pp. 2089–2090.
CIKM-2009-KriegelKOPRM #database #named
OSSOBOOK: database and knowledgemanagement techniques for archaeozoology (HPK, PK, HO, JP, MR, CHvdM), pp. 2091–2092.
CIKM-2009-JinSLY #algorithm #flexibility #simulation
A flexible simulation environment for flash-aware algorithms (PJ, XS, ZL, LY), pp. 2093–2094.
CIKM-2009-NusselderPSM #information management #people #web
Helping people to choose for whom to vote. a web information system for the 2009 European elections (AN, HP, AS, MM), pp. 2095–2096.
CIKM-2009-HuC #monitoring #online
RSS watchdog: an instant event monitor on real online news streams (CLH, CKC), pp. 2097–2098.
CIKM-2009-YuKOKK #feedback #named #retrieval
RefMed: relevance feedback retrieval system fo PubMed (HY, TK, JO, IK, SK), pp. 2099–2100.
CIKM-2009-DittenbachPPRB #architecture #evaluation #information retrieval #named
SOIRE: a service-oriented IR evaluation architecture (MD, BP, AP, GR, HB), pp. 2101–2102.
CIKM-2009-LauN #adaptation #framework #named #xml
MRM: an adaptive framework for XML searching (HLL, WN), pp. 2103–2104.
CIKM-2009-RonnauPB #documentation #performance #reliability #xml
Efficient and reliable merging of XML documents (SR, GP, UMB), pp. 2105–2106.
CIKM-2009-YeomK #documentation #visual notation #xml
A graphical browser for XML schema documents (JY, HK), pp. 2107–2108.
CIKM-2009-WuLACB #algebra #benchmark #generative #named #query #xpath
XQGen: an algebra-based XPath query generator for micro-benchmarking (YW, NL, RA, SC, SB), pp. 2109–2110.
CIKM-2009-WuBTJDS #algebra #comparison #named
ASIC: algebra-based structural index comparison (YW, SB, TT, SJ, DD, MS), pp. 2111–2112.
CIKM-2009-WangZZ09a #information management #network
Bridging the gap: complex networks meet information and knowledge management (JW, SZ, DZ), pp. 2113–2114.
CIKM-2009-Muntes-MuleroN #dataset #privacy #scalability
Privacy and anonymization for very large datasets (VMM, JN), pp. 2117–2118.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.