Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval
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James Allan, Javed A. Aslam, Mark Sanderson, ChengXiang Zhai, Justin Zobel
Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval
SIGIR, 2009.

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@proceedings{SIGIR-2009,
	address       = "Boston, Massachusetts, USA",
	editor        = "James Allan and Javed A. Aslam and Mark Sanderson and ChengXiang Zhai and Justin Zobel",
	isbn          = "978-1-60558-483-6",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval}",
	year          = 2009,
}

Contents (207 items)

SIGIR-2009-Dumais #information retrieval
An interdisciplinary perspective on information retrieval (STD), pp. 1–2.
SIGIR-2009-CaoHSJSCY #classification #query
Context-aware query classification (HC, DHH, DS, DJ, JTS, EC, QY), pp. 3–10.
SIGIR-2009-BennettN #classification #scalability #taxonomy
Refined experts: improving classification in large taxonomies (PNB, NN), pp. 11–18.
SIGIR-2009-KeSM #clustering #effectiveness #online
Dynamicity vs. effectiveness: studying online clustering for scatter/gather (WK, CRS, JM), pp. 19–26.
SIGIR-2009-MaekawaYSKKO #web
Web searching for daily living (TM, YY, YS, YK, KK, TO), pp. 27–34.
SIGIR-2009-JiZLZXCSZ #ranking
Global ranking by exploiting user clicks (SJ, KZ, CL, ZZ, GRX, OC, GS, HZ), pp. 35–42.
SIGIR-2009-LiHT #internet #mobile
Good abandonment in mobile and PC internet search (JL, SBH, AT), pp. 43–50.
SIGIR-2009-WangLFXY #performance #query
Efficient query expansion for advertisement search (HW, YL, LF, GRX, YY), pp. 51–58.
SIGIR-2009-XuJW #feedback #pseudo #query #wiki
Query dependent pseudo-relevance feedback based on wikipedia (YX, GJFJ, BW), pp. 59–66.
SIGIR-2009-BuscherED #comparison #eye tracking #feedback
Segment-level display time as implicit feedback: a comparison to eye tracking (GB, LvE, AD), pp. 67–74.
SIGIR-2009-McNameeNM
Addressing morphological variation in alphabetic languages (PM, CKN, JM), pp. 75–82.
SIGIR-2009-CanCGJKRRSSUW #detection #web
Web derived pronunciations for spoken term detection (DC, EC, AG, MJ, SK, BR, MR, MS, AS, MU, CMW), pp. 83–90.
SIGIR-2009-OlssonO #independence #retrieval #robust #speech
Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech search (JSO, DWO), pp. 91–98.
SIGIR-2009-ZhuWCT #information retrieval #modelling #nondeterminism #risk management
Risky business: modeling and exploiting uncertainty in information retrieval (JZ, JW, IJC, MJT), pp. 99–106.
SIGIR-2009-ZhangHS #approximate #modelling
Approximating true relevance distribution from a mixture model based on irrelevance data (PZ, YH, DS), pp. 107–114.
SIGIR-2009-WangZ #information retrieval
Portfolio theory of information retrieval (JW, JZ), pp. 115–122.
SIGIR-2009-CarmanBGC #comparison #query #statistics
A statistical comparison of tag and query logs (MJC, MB, RG, FC), pp. 123–130.
SIGIR-2009-LinYCWW #approach #modelling #semantics #thread
Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications (CL, JMY, RC, XJW, WW, LZ), pp. 131–138.
SIGIR-2009-CarmelRZ #clustering #using #wiki
Enhancing cluster labeling using wikipedia (DC, HR, NZ), pp. 139–146.
SIGIR-2009-YanDS #web
Compressing term positions in web indexes (HY, SD, TS), pp. 147–154.
SIGIR-2009-Lin #documentation #pipes and filters #similarity
Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce (JJL), pp. 155–162.
SIGIR-2009-Baeza-YatesMH #performance #trade-off #web
Efficiency trade-offs in two-tier web search systems (RABY, VM, CH), pp. 163–170.
SIGIR-2009-HongD #approach #classification
A classification-based approach to question answering in discussion boards (LH, BDD), pp. 171–178.
SIGIR-2009-WangTFZ #community #modelling #ranking #reasoning
Ranking community answers by modeling question-answer relationships via analogical reasoning (XJW, XT, DF, LZ), pp. 179–186.
SIGIR-2009-WangMC #approach
A syntactic tree matching approach to finding similar questions in community-based qa services (KW, ZM, TSC), pp. 187–194.
SIGIR-2009-KonstasSJ #collaboration #network #on the #recommendation #social
On social networks and collaborative recommendation (IK, VS, JMJ), pp. 195–202.
SIGIR-2009-MaKL #learning #recommendation #social #trust
Learning to recommend with social trust ensemble (HM, IK, MRL), pp. 203–210.
SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability
Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
SIGIR-2009-MetzlerNCR #documentation #using
Building enriched document representations using aggregated anchor text (DM, JN, HC, SR), pp. 219–226.
SIGIR-2009-DouSNW #using #web
Using anchor texts with their hyperlink structure for web search (ZD, RS, JYN, JRW), pp. 227–234.
SIGIR-2009-SakumaK #analysis #graph
Link analysis for private weighted graphs (JS, SK), pp. 235–242.
SIGIR-2009-BanerjeeCR #learning #query #rank
Learning to rank for quantity consensus queries (SB, SC, GR), pp. 243–250.
SIGIR-2009-CumminsO #framework #information retrieval #learning #proximity
Learning in a pairwise term-term proximity framework for information retrieval (RC, CO), pp. 251–258.
SIGIR-2009-SunQTW #learning #metric #rank #ranking #robust
Robust sparse rank learning for non-smooth ranking measures (ZS, TQ, QT, JW), pp. 259–266.
SIGIR-2009-GuoXCL #query #recognition
Named entity recognition in query (JG, GX, XC, HL), pp. 267–274.
SIGIR-2009-NaN #probability #retrieval
A 2-poisson model for probabilistic coreference of named entities for improved text retrieval (SHN, HTN), pp. 275–282.
SIGIR-2009-WongLC #adaptation #detection #information management #mining
Mining employment market via text block detection and adaptive cross-domain information extraction (TLW, WL, BC), pp. 283–290.
SIGIR-2009-ZhaoY #information retrieval #proximity
A proximity language model for information retrieval (JZ, YY), pp. 291–298.
SIGIR-2009-LvZ #information retrieval #modelling
Positional language models for information retrieval (YL, CZ), pp. 299–306.
SIGIR-2009-HuangH #approach #information retrieval #learning #ranking
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval (XH, QH), pp. 307–314.
SIGIR-2009-ArguelloDCC
Sources of evidence for vertical selection (JA, FD, JC, JFC), pp. 315–322.
SIGIR-2009-DiazA #adaptation #feedback #predict
Adaptation of offline vertical selection predictions in the presence of user feedback (FD, JA), pp. 323–330.
SIGIR-2009-LiLLL #framework #information retrieval #probability #ranking #topic
A probabilistic topic-based ranking framework for location-sensitive domain information retrieval (HL, ZL, WCL, DLL), pp. 331–338.
SIGIR-2009-DengKL #graph #modelling #query #representation
Entropy-biased models for query representation on the click graph (HD, IK, MRL), pp. 339–346.
SIGIR-2009-KonigGW #predict #query
Click-through prediction for news queries (ACK, MG, QW), pp. 347–354.
SIGIR-2009-GaoYLDN #ranking #web
Smoothing clickthrough data for web search ranking (JG, WY, XL, KD, JYN), pp. 355–362.
SIGIR-2009-WhiteBC #information management #predict
Predicting user interests from contextual information (RWW, PB, LC), pp. 363–370.
SIGIR-2009-KellyGB #comparison #interactive #query
A comparison of query and term suggestion features for interactive searching (DK, KG, EWB), pp. 371–378.
SIGIR-2009-VillaCJJ #interface
An aspectual interface for supporting complex search tasks (RV, IC, HJ, JMJ), pp. 379–386.
SIGIR-2009-TurnbullBLY #music #semantics #social
Combining audio content and social context for semantic music discovery (DT, LB, GRGL, MY), pp. 387–394.
SIGIR-2009-SiersdorferPS #automation #using #video
Automatic video tagging using content redundancy (SS, JSP, MS), pp. 395–402.
SIGIR-2009-ZhangSXW #framework #music #named #novel #similarity
CompositeMap: a novel framework for music similarity measure (BZ, JS, QX, YW), pp. 403–410.
SIGIR-2009-CambazogluPB #distributed #performance #quality #web
Quantifying performance and quality gains in distributed web search engines (BBC, VP, RABY), pp. 411–418.
SIGIR-2009-ThomasS #named
SUSHI: scoring scaled samples for server selection (PT, MS), pp. 419–426.
SIGIR-2009-ShokouhiAT #effectiveness #query
Effective query expansion for federated search (MS, LA, PT), pp. 427–434.
SIGIR-2009-Barabasi #behaviour #network
From networks to human behavior (ALB), p. 435.
SIGIR-2009-Carterette #correlation #distance #on the #rank #ranking
On rank correlation and the distance between rankings (BC), pp. 436–443.
SIGIR-2009-WebberP #bias
Score adjustment for correction of pooling bias (WW, LAFP), pp. 444–451.
SIGIR-2009-KazaiMC #quality #towards
Towards methods for the collective gathering and quality control of relevance assessments (GK, NMF, JC), pp. 452–459.
SIGIR-2009-DonmezSB #on the
On the local optimality of λRank (PD, KMS, CJCB), pp. 460–467.
SIGIR-2009-AslamKPSY #documentation #effectiveness #performance #ranking
Document selection methodologies for efficient and effective learning-to-rank (JAA, EK, VP, SS, EY), pp. 468–475.
SIGIR-2009-Lease #markov #query #random
An improved markov random field model for supporting verbose queries (ML), pp. 476–483.
SIGIR-2009-SerdyukovMZ
Placing flickr photos on a map (PS, VM, RvZ), pp. 484–491.
SIGIR-2009-NohPYLP #automation #folksonomy #multi #network #using
An automatic translation of tags for multimedia contents using folksonomy networks (TGN, SBP, HGY, SJL, SYP), pp. 492–499.
SIGIR-2009-LiuMH #multi #named #ranking #visual notation
CrowdReranking: exploring multiple search engines for visual search reranking (YL, TM, XSH), pp. 500–507.
SIGIR-2009-TurpinSJWC #evaluation #summary
Including summaries in system evaluation (AT, FS, KJ, MW, JSC), pp. 508–515.
SIGIR-2009-OulasvirtaHS
When more is less: the paradox of choice in search engine use (AO, JPH, BS), pp. 516–523.
SIGIR-2009-ArampatzisKR #optimisation #using
Where to stop reading a ranked list?: threshold optimization using truncated score distributions (AA, JK, SR), pp. 524–531.
SIGIR-2009-AmatriainLPKO #approach #collaboration #web
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web (XA, NL, JMP, HK, NO), pp. 532–539.
SIGIR-2009-GuanBMCW #graph #multi #personalisation #ranking #recommendation #using
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects (ZG, JB, QM, CC, CW), pp. 540–547.
SIGIR-2009-ZieglerJ #web
Leveraging sources of collective wisdom on the web for discovering technology synergies (CNZ, SJ), pp. 548–555.
SIGIR-2009-Azzopardi #analysis #effectiveness #empirical #evaluation #query
Query side evaluation: an empirical analysis of effectiveness and effort (LA), pp. 556–563.
SIGIR-2009-KumaranC #predict #quality #query #using
Reducing long queries using query quality predictors (GK, VRC), pp. 564–571.
SIGIR-2009-LiWA #query #random
Extracting structured information from user queries with semi-supervised conditional random fields (XL, YYW, AA), pp. 572–579.
SIGIR-2009-FetterlyCV #effectiveness #policy #web
The impact of crawl policy on web search effectiveness (DF, NC, VV), pp. 580–587.
SIGIR-2009-ZhuWYWYHC #optimisation
Optimizing search engine revenue in sponsored search (YZ, GW, JY, DW, JY, JH, ZC), pp. 588–595.
SIGIR-2009-PascaA #concept #information retrieval #web
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies (MP, EA), pp. 596–603.
SIGIR-2009-CormackK #evaluation
Spam filter evaluation with imprecise ground truth (GVC, AK), pp. 604–611.
SIGIR-2009-NollYGMS #folksonomy #ranking
Telling experts from spammers: expertise ranking in folksonomies (MGN, CmAY, NG, CM, NS), pp. 612–619.
SIGIR-2009-BenevenutoRAAG #detection #network #online #social #video
Detecting spammers and content promoters in online video social networks (FB, TR, VAFA, JMA, MAG), pp. 620–627.
SIGIR-2009-GuoMLH #named #video
AdOn: an intelligent overlay video advertising system (JG, TM, FL, XSH), pp. 628–629.
SIGIR-2009-SmuckerAC #evaluation #information retrieval #statistics #testing
Agreement among statistical significance tests for information retrieval evaluation at varying sample sizes (MDS, JA, BC), pp. 630–631.
SIGIR-2009-HinneKRVWH
Annotation of URLs: more than the sum of parts (MH, WK, SR, SV, TPvdW, MvdH), pp. 632–633.
SIGIR-2009-WangLF #automation #fuzzy #predict #using
Automatic URL completion and prediction using fuzzy type-ahead search (JW, GL, JF), pp. 634–635.
SIGIR-2009-GuoA #interactive #predict #segmentation
Beyond session segmentation: predicting changes in search intent with client-side user interactions (QG, EA), pp. 636–637.
SIGIR-2009-KeikhaCC #random #using
Blog distillation using random walks (MK, MJC, FC), pp. 638–639.
SIGIR-2009-ScholerG #evaluation #predict #query
A case for improved evaluation of query difficulty prediction (FS, SG), pp. 640–641.
SIGIR-2009-CartrightAD #topic
Characterizing the subjectivity of topics (MAC, EA, JD), pp. 642–643.
SIGIR-2009-Nomoto #library #profiling
Classifying library catalogue by author profiling (TN), pp. 644–645.
SIGIR-2009-KalmanovichK #clustering #query
Cluster-based query expansion (IGK, OK), pp. 646–647.
SIGIR-2009-LiLJZ #ranking #robust #web
Comparing both relevance and robustness in selection of web ranking functions (FL, XL, SJ, ZZ), pp. 648–649.
SIGIR-2009-MonzW #ambiguity #clustering #comparison
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation (CM, WW), pp. 650–651.
SIGIR-2009-ParaparLB #documentation #modelling
Compression-based document length prior for language models (JP, DEL, AB), pp. 652–653.
SIGIR-2009-WangSH #concept #representation #video
Concept representation based video indexing (MW, YS, XSH), pp. 654–655.
SIGIR-2009-BeckerBGJP
Context transfer in search advertising (HB, AZB, EG, VJ, BP), pp. 656–657.
SIGIR-2009-WangD
Counting ancestors to estimate authority (JW, BDD), pp. 658–659.
SIGIR-2009-McCarley
Cross language name matching (JSM), pp. 660–661.
SIGIR-2009-YilmazR #learning #rank
Deep versus shallow judgments in learning to rank (EY, SR), pp. 662–663.
SIGIR-2009-AzzopardiVM #energy #performance
Developing energy efficient filtering systems (LA, WV, MM), pp. 664–665.
SIGIR-2009-ChangDLZ #ranking #topic
Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.
SIGIR-2009-Peng #analysis #equivalence #probability #semantics
Equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis (WP), pp. 668–669.
SIGIR-2009-AnderkaS #retrieval #revisited
The ESA retrieval model revisited (MA, BS), pp. 670–671.
SIGIR-2009-Collins-ThompsonB #performance #predict #query #using
Estimating query performance using class predictions (KCT, PNB), pp. 672–673.
SIGIR-2009-FujiiUYU #retrieval
Evaluating effects of machine translation accuracy on cross-lingual patent retrieval (AF, MU, MY, TU), pp. 674–675.
SIGIR-2009-XuM #using #web
Evaluating web search using task completion time (YX, DM), pp. 676–677.
SIGIR-2009-MeijMZ #evaluation #query
An evaluation of entity and frequency based query completion methods (EM, PM, HZ), pp. 678–679.
SIGIR-2009-WangZLD #documentation #summary
Evolutionary document summarization for disaster management (DW, LZ, TL, YD), pp. 680–681.
SIGIR-2009-SubramaniamSDV #fuzzy #similarity #string #using
Experiments in CLIR using fuzzy string search based on surface similarity (SS, AKS, PD, VV), pp. 682–683.
SIGIR-2009-YangC #automation #feature model #induction #taxonomy
Feature selection for automatic taxonomy induction (HY, JC), pp. 684–685.
SIGIR-2009-LeeLPSR #keyword #video
Finding advertising keywords on video scripts (JTL, HL, HSP, YIS, HCR), pp. 686–687.
SIGIR-2009-HePO #retrieval
Fitting score distribution for blog opinion retrieval (BH, JP, IO), pp. 688–689.
SIGIR-2009-YeHL #approach #graph #mining #multi #wiki #word
A graph-based approach to mining multilingual word associations from wikipedia (ZY, XH, HL), pp. 690–691.
SIGIR-2009-ArmstrongMWZ #ad hoc #question #retrieval
Has adhoc retrieval improved since 1994? (TGA, AM, WW, JZ), pp. 692–693.
SIGIR-2009-SeoJ #graph #precise #retrieval #using
High precision retrieval using relevance-flow graph (JS, JJ), pp. 694–695.
SIGIR-2009-ShaparenkoJ #documentation #identification #modelling
Identifying the original contribution of a document via language modeling (BS, TJ), pp. 696–697.
SIGIR-2009-HuangTG #assessment
The importance of manual assessment in link discovery (DWCH, AT, SG), pp. 698–699.
SIGIR-2009-MetzlerJPZ #query
Improving search relevance for implicitly temporal queries (DM, RJ, FP, RZ), pp. 700–701.
SIGIR-2009-ZhangACEH
Improving user confidence in cultural heritage aggregated results (JZ, AA, HSMC, VE, LH), pp. 702–703.
SIGIR-2009-AminiU #algorithm #information management #multi #ranking #summary
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.
SIGIR-2009-MeisterKK #clustering #documentation #retrieval
Integrating clusters created offline with query-specific clusters for document retrieval (LM, OK, IGK), pp. 706–707.
SIGIR-2009-ShiN
Integrating phrase inseparability in phrase-based model (LS, JYN), pp. 708–709.
SIGIR-2009-MacdonaldOS #question
Is spam an issue for opinionated blog post search? (CM, IO, IS), pp. 710–711.
SIGIR-2009-LiuNVA #collaboration #information management
Is this urgent?: exploring time-sensitive information needs in collaborative question answering (YL, NN, VV, EA), pp. 712–713.
SIGIR-2009-ElsasC #concurrent #evaluation #online #retrieval #thread
It pays to be picky: an evaluation of thread retrieval in online forums (JLE, JGC), pp. 714–715.
SIGIR-2009-LiSDZ #classification #sentiment
Knowledge transformation for cross-domain sentiment classification (TL, VS, CHQD, YZ), pp. 716–717.
SIGIR-2009-VriesG #clustering #documentation #named #scalability
K-tree: large scale document clustering (CMDV, SG), pp. 718–719.
SIGIR-2009-GuoZCZG #documentation #topic
A latent topic model for linked documents (ZG, SZ, YC, ZZ, YG), pp. 720–721.
SIGIR-2009-CumminsO09a #constraints #information retrieval
Measuring constraint violations in information retrieval (RC, CO), pp. 722–723.
SIGIR-2009-Potthast #web
Measuring the descriptiveness of web comments (MP), pp. 724–725.
SIGIR-2009-ZhangWLOJH #dependence #mining #parsing
Mining product reviews based on shallow dependency parsing (QZ, YW, TL, MO, JJ, XH), pp. 726–727.
SIGIR-2009-ArapakisKJK #modelling #predict #topic
Modeling facial expressions and peripheral physiological signals to predict topical relevance (IA, IK, JMJ, IK), pp. 728–729.
SIGIR-2009-ZhangS #modelling
Modeling search response time (DZ, LS), pp. 730–731.
SIGIR-2009-AmbaiY #clustering #image #multi #ranking #set #visual notation
Multiclass VisualRank: image ranking method in clustered subsets based on visual features (MA, YY), pp. 732–733.
SIGIR-2009-CloughSANP #multi #query
Multiple approaches to analysing query diversity (PDC, MS, MA, SN, MLP), pp. 734–735.
SIGIR-2009-BrunoM #approach #clustering #modelling #multi #using
Multiview clustering: a late fusion approach using latent models (EB, SMM), pp. 736–737.
SIGIR-2009-TatikondaJCP #manycore #on the #performance
On efficient posting list intersection with multicore processors (ST, FJ, BBC, VP), pp. 738–739.
SIGIR-2009-MacdonaldO #documentation #on the #ranking
On perfect document rankings for expert search (CM, IO), pp. 740–741.
SIGIR-2009-McCreadieMO #on the #pipes and filters
On single-pass indexing with MapReduce (RM, CM, IO), pp. 742–743.
SIGIR-2009-CormackC #email #on the
On the relative age of spam and ham training samples for email filtering (GVC, JMMdC), pp. 744–745.
SIGIR-2009-MaCQG #game studies #using
Page hunt: improving search engines using human computation games (HM, RC, CQ, AG), pp. 746–747.
SIGIR-2009-YangLC #music #personalisation #recognition
Personalized music emotion recognition (YHY, YCL, HHC), pp. 748–749.
SIGIR-2009-TomsF #analysis #behaviour #predict
Predicting stopping behaviour: a preliminary analysis (EGT, LF), pp. 750–751.
SIGIR-2009-YangGH #identification #information retrieval #problem
Protein identification as an information retrieval problem (YY, SG, AH), pp. 752–753.
SIGIR-2009-YangWGH #learning #query #ranking #web
Query sampling for ranking learning in web search (LY, LW, BG, XSH), pp. 754–755.
SIGIR-2009-JiangHL #approach #ranking
A ranking approach to keyphrase extraction (XJ, YH, HL), pp. 756–757.
SIGIR-2009-CormackCB #learning #rank
Reciprocal rank fusion outperforms condorcet and individual rank learning methods (GVC, CLAC, SB), pp. 758–759.
SIGIR-2009-AlonsoM #analysis #e-commerce
Relevance criteria for e-commerce: a crowdsourcing-based experimental analysis (OA, SM), pp. 760–761.
SIGIR-2009-RaghavanH #modelling #quality
A relevance model based filter for improving ad quality (HR, DH), pp. 762–763.
SIGIR-2009-Ha-ThucMHS #topic
A relevance-based topic model for news event tracking (VHT, YM, CGH, PS), pp. 764–765.
SIGIR-2009-ZucconAR #information retrieval #logic
Revisiting logical imaging for information retrieval (GZ, LA, CJvR), pp. 766–767.
SIGIR-2009-HannaRR #music #retrieval #robust #similarity
A robust retrieval system of polyphonic music based on chord progression similarity (PH, TR, MR), pp. 768–769.
SIGIR-2009-PesericoP #convergence #rank
Score and rank convergence of HITS (EP, LP), pp. 770–771.
SIGIR-2009-Savev #exclamation
A search engine in a few lines.: yes, we can! (SS), pp. 772–773.
SIGIR-2009-AzzopardiO #towards
Search engine predilection towards news media providers (LA, CO), pp. 774–775.
SIGIR-2009-YehK #documentation #image #using
Searching documentation using text, OCR, and image (TY, BK), pp. 776–777.
SIGIR-2009-GongO #ambiguity #clustering #web
Selecting hierarchical clustering cut points for web person-name disambiguation (JG, DWO), pp. 778–779.
SIGIR-2009-SakaiN #analysis #query #wiki
Serendipitous search via wikipedia: a query log analysis (TS, KN), pp. 780–781.
SIGIR-2009-ParlakS #information retrieval
Spoken information retrieval for turkish broadcast news (SP, MS), pp. 782–783.
SIGIR-2009-BerminghamS #case study #retrieval
A study of inter-annotator agreement for opinion retrieval (AB, AFS), pp. 784–785.
SIGIR-2009-BolourianMR #named #quantifier #topic #using
SugarCube: quantification of topic propagation in the blogosphere using percolation theory (AAB, YM, CJvR), pp. 786–787.
SIGIR-2009-RavanaPM #using
System scoring using partial prior information (SDR, LAFP, AM), pp. 788–789.
SIGIR-2009-LeeLP #reduction #similarity #using
Tag-based object similarity computation using term space dimension reduction (YKL, SJL, JP), pp. 790–791.
SIGIR-2009-TomasikTT #classification #image #using
Tagging products using image classification (BT, PT, DT), pp. 792–793.
SIGIR-2009-ZhangSHW #independence #web
Template-independent wrapper for web forums (QZ, YS, XH, LW), pp. 794–795.
SIGIR-2009-LathiaHC #adaptation #collaboration
Temporal collaborative filtering with adaptive neighbourhoods (NL, SH, LC), pp. 796–797.
SIGIR-2009-ZhangYYLC #query
Temporal query substitution for ad search (WZ, JY, SY, NL, ZC), pp. 798–799.
SIGIR-2009-AshkanC #analysis
Term-based commercial intent analysis (AA, CLAC), pp. 800–801.
SIGIR-2009-ZhuWVC #evaluation #information retrieval #query #topic
Topic (query) selection for IR evaluation (JZ, JW, VV, IJC), pp. 802–803.
SIGIR-2009-PunithaJG #automation #feature model #multi #query #retrieval #topic #using #video
Topic prerogative feature selection using multiple query examples for automatic video retrieval (PP, JMJ, AG), pp. 804–805.
SIGIR-2009-Voorhees #set #topic
Topic set size redux (EMV), pp. 806–807.
SIGIR-2009-XueC #query
Transforming patents into prior-art queries (XX, WBC), pp. 808–809.
SIGIR-2009-BenderskyCS #information retrieval #query #segmentation
Two-stage query segmentation for information retrieval (MB, WBC, DAS), pp. 810–811.
SIGIR-2009-BaileyKG #topic
Undergraduates’ evaluations of assigned search topics (EWB, DK, KG), pp. 812–813.
SIGIR-2009-MamouMSS #image #performance #retrieval
A unified inverted index for an efficient image and text retrieval (JM, YM, MSS, BS), pp. 814–815.
SIGIR-2009-MacdonaldW
Usefulness of click-through data in expert search (CM, RWW), pp. 816–817.
SIGIR-2009-WolfeZ #information retrieval #multi
User-centric multi-criteria information retrieval (SRW, YZ), pp. 818–819.
SIGIR-2009-DostertK #behaviour
Users’ stopping behaviors and estimates of recall (MD, DK), pp. 820–821.
SIGIR-2009-ItakuraC #detection #markov #using #wiki
Using dynamic markov compression to detect vandalism in the wikipedia (KYI, CLAC), pp. 822–823.
SIGIR-2009-KapteinKK #ad hoc #category theory #using #wiki
Using wikipedia categories for ad hoc search (RK, MK, JK), pp. 824–825.
SIGIR-2009-TrotmanCL #problem #topic #visualisation
Visualizing the problems with the INEX topics (AT, MdRGC, ML), p. 826.
SIGIR-2009-ZhangL #query #question #web #what
What queries are likely to recur in web search? (DZ, JL), pp. 827–828.
SIGIR-2009-HauffA #effectiveness #performance #predict #query #question
When is query performance prediction effective? (CH, LA), pp. 829–830.
SIGIR-2009-KapteinMK #what
Who said what to whom?: capturing the structure of debates (RK, MM, JK), pp. 831–832.
SIGIR-2009-ArmstrongMWZ09a #information retrieval #named #online
EvaluatIR: an online tool for evaluating and comparing IR systems (TGA, AM, WW, JZ), p. 833.
SIGIR-2009-McDougallM #using
Expertise search in academia using facets (DM, CM), p. 834.
SIGIR-2009-MiletteSRH #social
Exploiting social context for expertise propagation (GPM, MKS, KR, RH), p. 835.
SIGIR-2009-RonenSUUYZCGHO #enterprise #network #social
Social networks and discovery in the enterprise (SaND) (IR, ES, SU, EU, SY, NZ, DC, IG, NH, SOK), p. 836.
SIGIR-2009-GrinevGBNSL
Sifting micro-blogging stream for events of user interest (MNG, MPG, AB, LN, AS, DL), p. 837.
SIGIR-2009-RoinestadBMM #social
Incentives for social annotation (HR, JB, BM, FM), p. 838.
SIGIR-2009-WangLYH #image
Accommodating colorblind users in image search (MW, BL, LY, XSH), p. 839.
SIGIR-2009-NovakBZ #image #retrieval #similarity
Generic similarity search engine demonstrated by an image retrieval application (DN, MB, PZ), p. 840.
SIGIR-2009-BozzonBFNDMNPAPLZBWC #framework #named #platform
Pharos: an audiovisual search platform (AB, MB, PF, FSN, SD, EM, WN, MP, PA, OP, CL, SZ, GB, DW, VC), p. 841.
SIGIR-2009-SavalM #information management #monitoring #named
Agate: information gathering for risk monitoring (AS, YM), p. 842.
SIGIR-2009-TomsMJH #named
wikiSearch: enabling interactivity in search (EGT, TM, CJ, SH), p. 843.
SIGIR-2009-JinW #named #ranking
CDPRanking: discovering and ranking cross-document paths between entities (WJ, XW), p. 844.
SIGIR-2009-Lopes #health #information retrieval
Context-based health information retrieval (CL), p. 845.
SIGIR-2009-Aly #modelling #nondeterminism #retrieval #semantics #video
Modeling uncertainty in video retrieval: a retrieval model for uncertain semantic representations of videos (RA), p. 846.
SIGIR-2009-Buscaldi #ambiguity #information retrieval
Toponym ambiguity in geographical information retrieval (DB), p. 847.
SIGIR-2009-Kanhabua #documentation #retrieval
Exploiting temporal information in retrieval of archived documents (NK), p. 848.
SIGIR-2009-Bossard #automation #documentation #summary #using
Using document structure for automatic summarization (AB), p. 849.
SIGIR-2009-He #information retrieval #topic
Topic structure for information retrieval (JH), p. 850.
SIGIR-2009-Liu #community #ranking #using
Using computational community interest as an indicator for ranking (XL), p. 851.
SIGIR-2009-Moshfeghi #adaptation #retrieval
Affective adaptive retrieval: study of emotion in adaptive retrieval (YM), p. 852.
SIGIR-2009-Hosseini #case study #information retrieval #performance
A study on performance volatility in information retrieval (MH), p. 853.
SIGIR-2009-Schanda #detection
Novelty detection across different source types and languages (JS), p. 854.
SIGIR-2009-Liu09a #information retrieval #personalisation #topic #using
Personalizing information retrieval using task features, topic knowledge, and task product (JL), p. 855.
SIGIR-2009-Chen #memory management #retrieval
Exploiting memory cues in personal lifelog retrieval (YC), p. 856.

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