BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
queri (40)
search (16)
use (11)
evalu (10)
base (10)

Stem suggest$ (all stems)

99 papers:

VLDBVLDB-2015-JayaramGL #graph #interactive #interface #named #query #visual notation
VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation (NJ, SG, CL), pp. 1940–1951.
ICPCICPC-2015-BeyerP #stack overflow
Synonym suggestion for tags on stack overflow (SB, MP), pp. 94–103.
CHICHI-2015-NguyenNIO #personalisation #topic
The Known Stranger: Supporting Conversations between Strangers with Personalized Topic Suggestions (TTN, DTN, STI, EO), pp. 555–564.
CHICHI-2015-ODonovanAH #design #interactive #layout #named
DesignScape: Design with Interactive Layout Suggestions (PO, AA, AH), pp. 1221–1224.
ECIRECIR-2015-Dean-HallC #power of
The Power of Contextual Suggestion (ADH, CLAC), pp. 352–357.
ECIRECIR-2015-HarveyC #exclamation #hashtag #personalisation #twitter
Long Time, No Tweets! Time-aware Personalised Hashtag Suggestion (MH, FC), pp. 581–592.
ECIRECIR-2015-VerberneSJK #interactive #personalisation #query #simulation
User Simulations for Interactive Search: Evaluating Personalized Query Suggestion (SV, MS, KJ, WK), pp. 678–690.
MLDMMLDM-2015-SejalSTAVIP #graph #query #similarity
Query Click and Text Similarity Graph for Query Suggestions (DS, KGS, VT, DA, KRV, SSI, LMP), pp. 328–341.
SIGIRSIGIR-2015-HarveyHE #learning #query
Learning by Example: Training Users with High-quality Query Suggestions (MH, CH, DE), pp. 133–142.
ESEC-FSEESEC-FSE-2015-AllamanisBBS
Suggesting accurate method and class names (MA, ETB, CB, CAS), pp. 38–49.
ICSEICSE-v2-2015-FranksTDH #modelling #named
CACHECA: A Cache Language Model Based Code Suggestion Tool (CF, ZT, PTD, VH), pp. 705–708.
ICPCICPC-2014-SuzukiSIH #approach #modelling #n-gram #using
An approach for evaluating and suggesting method names using n-gram models (TS, KS, FI, SH), pp. 271–274.
HCIHIMI-DE-2014-UedaA14a #twitter
Suggestion of Operation Method of the Interest Shift Model of the Twitter User (YU, YA), pp. 664–677.
CIKMCIKM-2014-DeveaudAMO #learning #on the #rank
On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions (RD, MDA, CM, IO), pp. 1827–1830.
ECIRECIR-2014-BelloginSVS #challenge #dataset #evaluation #web
Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track (AB, TS, APdV, AS), pp. 430–436.
ECIRECIR-2014-RikitianskiiHC #personalisation #recommendation
A Personalised Recommendation System for Context-Aware Suggestions (AR, MH, FC), pp. 63–74.
ECIRECIR-2014-VerberneSK #query
Query Term Suggestion in Academic Search (SV, MS, WK), pp. 560–566.
KDDKDD-2014-BenderskyPHJL #retrieval #scalability #video
Up next: retrieval methods for large scale related video suggestion (MB, LGP, JJH, VJ, DL), pp. 1769–1778.
KDIRKDIR-2014-PlansangketG #evaluation #performance #query #retrieval #state of the art
Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion (SP, JQG), pp. 141–148.
SIGIRSIGIR-2014-KabaryS #retrieval #sketching #video
Enhancing sketch-based sport video retrieval by suggesting relevant motion paths (IAK, HS), pp. 1227–1230.
SIGIRSIGIR-2014-KimC #documentation #query
Diversifying query suggestions based on query documents (YK, WBC), pp. 891–894.
SIGIRSIGIR-2014-WingY #health #named #realtime
FitYou: integrating health profiles to real-time contextual suggestion (CW, HY), pp. 1263–1264.
SIGIRSIGIR-2014-WuMHR #image #learning #personalisation
Learning to personalize trending image search suggestion (CCW, TM, WHH, YR), pp. 727–736.
SACSAC-2014-KumeNNS #dynamic analysis #framework
A dynamic analysis technique to extract symptoms that suggest side effects in framework applications (IK, NN, MN, ES), pp. 1176–1178.
ICSEICSE-2014-OcarizaPM #fault #javascript #named
Vejovis: suggesting fixes for JavaScript faults (FSOJ, KP, AM), pp. 837–847.
SIGMODSIGMOD-2013-MishneDLSL #architecture #big data #performance #query #realtime #twitter
Fast data in the era of big data: Twitter’s real-time related query suggestion architecture (GM, JD, ZL, AS, JL), pp. 1147–1158.
MSRMSR-2013-SahaSS #approach #automation #stack overflow
A discriminative model approach for suggesting tags automatically for stack overflow questions (AKS, RKS, KAS), pp. 73–76.
ECIRECIR-2013-PCK #problem #query #repository
Query Suggestions for Textual Problem Solution Repositories (DP, SC, DK), pp. 569–581.
SEKESEKE-2013-MateoU #named
BacterioORACLE: An Oracle suggester tool (PRM, MPU), pp. 300–305.
SIGIRSIGIR-2013-KharitonovMSO #evaluation #metric #modelling #query
User model-based metrics for offline query suggestion evaluation (EK, CM, PS, IO), pp. 633–642.
SIGIRSIGIR-2013-MiyanishiS #query
Time-aware structured query suggestion (TM, TS), pp. 809–812.
RERE-2013-MahauxC #interactive
Creative collisions: Meet and create: And other “RE interactive” suggestions (MM, DC), pp. 371–372.
CSMRCSMR-2012-HottaHK #dependence #graph #identification #refactoring
Identifying, Tailoring, and Suggesting Form Template Method Refactoring Opportunities with Program Dependence Graph (KH, YH, SK), pp. 53–62.
CIKMCIKM-2012-KoolenKK #evaluation #social #topic
Social book search: comparing topical relevance judgements and book suggestions for evaluation (MK, JK, GK), pp. 185–194.
CIKMCIKM-2012-SultanaHBDRDL #wiki
Infobox suggestion for Wikipedia entities (AS, QMH, AKB, SD, HR, CHQD, CL), pp. 2307–2310.
KDIRKDIR-2012-ZanonACG #algorithm #query
A New Query Suggestion Algorithm for Taxonomy-based Search Engines (RZ, SA, MC, IG), pp. 151–156.
SIGIRSIGIR-2012-BaoKL #automation #enterprise
Automatic suggestion of query-rewrite rules for enterprise search (ZB, BK, YL), pp. 591–600.
SIGIRSIGIR-2012-LiuSCNW #adaptation #query
Adaptive query suggestion for difficult queries (YL, RS, YC, JYN, JRW), pp. 15–24.
SIGIRSIGIR-2012-MaCSSLW #assessment #query
New assessment criteria for query suggestion (ZM, YC, RS, TS, JL, JRW), pp. 1109–1110.
SIGIRSIGIR-2012-OzertemCDV #framework #machine learning #query #ranking
Learning to suggest: a machine learning framework for ranking query suggestions (UO, OC, PD, EV), pp. 25–34.
CSMRCSMR-2011-TsantalisC #ranking #refactoring
Ranking Refactoring Suggestions Based on Historical Volatility (NT, AC), pp. 25–34.
HCIDUXU-v1-2011-LeeR #architecture #collaboration #concept #learning #mobile
Suggested Collaborative Learning Conceptual Architecture and Applications for Mobile Devices (KL, AR), pp. 611–620.
CIKMCIKM-2011-OzertemVL #set #using
Suggestion set utility maximization using session logs (UO, EV, LL), pp. 105–114.
CIKMCIKM-2011-PapagelisBG
Suggesting ghost edges for a smaller world (MP, FB, AG), pp. 2305–2308.
CIKMCIKM-2011-StuparM #automation #multi #named
PICASSO: automated soundtrack suggestion for multi-modal data (AS, SM), pp. 2589–2592.
ECIRECIR-2011-AlbakourKNKSFR #evaluation #named #query #using
AutoEval: An Evaluation Methodology for Evaluating Query Suggestions Using Query Logs (MDA, UK, NN, YK, DS, MF, ANDR), pp. 605–610.
SIGIRSIGIR-2011-BhatiaMM #query
Query suggestions in the absence of query logs (SB, DM, PM), pp. 795–804.
SIGIRSIGIR-2011-JainOV #query #web
Synthesizing high utility suggestions for rare web search queries (AJ, UO, EV), pp. 805–814.
SIGIRSIGIR-2011-KimSC #automation #query
Automatic boolean query suggestion for professional search (YK, JS, WBC), pp. 825–834.
SIGIRSIGIR-2011-SongZH #query
Post-ranking query suggestion by diversifying search results (YS, DZ, LwH), pp. 815–824.
VLDBVLDB-2011-KhoussainovaKBS #named #sql
SnipSuggest: Context-Aware Autocompletion for SQL (NK, YK, MB, DS), pp. 22–33.
CHICHI-2010-HartmannMBK #error message #fault #what
What would other programmers do: suggesting solutions to error messages (BH, DM, JB, SRK), pp. 1019–1028.
CHICHI-2010-KellyCDNG #information management #quality #query
Effects of popularity and quality on the usage of query suggestions during information search (DK, AC, MD, XN, KG), pp. 45–54.
CSCWCSCW-2010-GeyerD #topic
Inspired by the audience: a topic suggestion system for blog writers and readers (WG, CD), pp. 237–240.
CIKMCIKM-2010-WestPP #automation #documentation #topic
Automatically suggesting topics for augmenting text documents (RW, DP, JP), pp. 929–938.
ECIRECIR-2010-HarveyBRC #modelling #personalisation #topic
Tripartite Hidden Topic Models for Personalised Tag Suggestion (MH, MB, IR, MJC), pp. 432–443.
ECIRECIR-2010-KriewelF #adaptation #evaluation
Evaluation of an Adaptive Search Suggestion System (SK, NF), pp. 544–555.
ICPRICPR-2010-JoshiWL #semantics #using
Suggesting Songs for Media Creation Using Semantics (DJ, MDW, JL), pp. 3208–3211.
KDDKDD-2010-RothBDFHLLMM #graph #social #using
Suggesting friends using the implicit social graph (MR, ABD, DD, GF, IH, AL, NL, YM, RM), pp. 233–242.
SIGIRSIGIR-2010-RajuKU #topic #web
Suggesting related topics in web search (SR, SK, RU), p. 705.
ICSTICST-2010-DebroyW #automation #source code #using
Using Mutation to Automatically Suggest Fixes for Faulty Programs (VD, WEW), pp. 65–74.
ASEASE-2009-DanielJDM #named #testing
ReAssert: Suggesting Repairs for Broken Unit Tests (BD, VJ, DD, DM), pp. 433–444.
HTHT-2009-BollenH #folksonomy
The role of tag suggestions in folksonomies (DB, HH), pp. 359–360.
CIKMCIKM-2009-BaragliaCDNPS #graph #query
Aging effects on query flow graphs for query suggestion (RB, CC, DD, FMN, RP, FS), pp. 1947–1950.
ECIRECIR-2009-AminHOEH #interface
Organizing Suggestions in Autocompletion Interfaces (AA, MH, JvO, VE, LH), pp. 521–529.
SIGIRSIGIR-2009-KellyGB #comparison #interactive #query
A comparison of query and term suggestion features for interactive searching (DK, KG, EWB), pp. 371–378.
VLDBVLDB-2008-Bar-YossefG #mining #query
Mining search engine query logs via suggestion sampling (ZBY, MG), pp. 54–65.
CHICHI-2008-KamvarB #comprehension #mobile #query
Query suggestions for mobile search: understanding usage patterns (MK, SB), pp. 1013–1016.
CSCWCSCW-2008-BrushIT #named #product line
SPARCS: exploring sharing suggestions to enhance family connectedness (AJBB, KMI, KT), pp. 629–638.
CIKMCIKM-2008-MaYKL #learning #query #semantics
Learning latent semantic relations from clickthrough data for query suggestion (HM, HY, IK, MRL), pp. 709–718.
CIKMCIKM-2008-MeiZC #query #using
Query suggestion using hitting time (QM, DZ, KWC), pp. 469–478.
CIKMCIKM-2008-SongZG #classification #framework #performance #process
A sparse gaussian processes classification framework for fast tag suggestions (YS, LZ, CLG), pp. 93–102.
CIKMCIKM-2008-SuchanekVG #social
Social tags: meaning and suggestions (FMS, MV, DG), pp. 223–232.
CIKMCIKM-2008-YangCJWZM #query #search-based
Search-based query suggestion (JMY, RC, FJ, SW, LZ, WYM), pp. 1439–1440.
KDDKDD-2008-CaoJPHLCL #mining #query
Context-aware query suggestion by mining click-through and session data (HC, DJ, JP, QH, ZL, EC, HL), pp. 875–883.
HCIHIMI-MTT-2007-Jeong #comprehension #using
Suggestion of Methods for Understanding User’s Emotional Changes While Using a Product (SHJ), pp. 59–67.
HCIHIMI-MTT-2007-ShinyashikiMHKUN #analysis #embedded
A Suggestion for Analysis of Unexpected Obstacles in Embedded System (YS, TM, MH, KK, NU, TN), pp. 755–768.
CIKMCIKM-2007-FeuerSA #evaluation #query
Evaluation of phrasal query suggestions (AF, SS, JAA), pp. 841–848.
RecSysRecSys-2007-ViappianiPF #adaptation #recommendation
Conversational recommenders with adaptive suggestions (PV, PP, BF), pp. 89–96.
SIGIRSIGIR-2007-CucerzanW #query
Query suggestion based on user landing pages (SC, RWW), pp. 875–876.
SIGIRSIGIR-2007-GaoNNZHWH #query #using
Cross-lingual query suggestion using query logs of different languages (WG, CN, JYN, MZ, JH, KFW, HWH), pp. 463–470.
CHICHI-2006-PuVF #using
Increasing user decision accuracy using suggestions (PP, PV, BF), pp. 121–130.
SACSAC-2006-AgostiFO #automation #graph #image
Graph-based automatic suggestion of relationships among images of illuminated manuscripts (MA, NF, NO), pp. 1063–1067.
ICEISICEIS-v1-2005-Barki #assessment #enterprise #implementation #information management #research
Enterprise Information Systems Implementation Research: Assessment and Suggestions for the Future (HB), p. 11.
ESEC-FSEESEC-FSE-2005-Robillard #automation #generative
Automatic generation of suggestions for program investigation (MPR), pp. 11–20.
CHICHI-2004-TsangBSR #3d #image #interface #sketching
A suggestive interface for image guided 3D sketching (ST, RB, KS, AR), pp. 591–598.
VISSOFTVISSOFT-2003-WuMSL #requirements #version control #visualisation
Visualization to Support Version Control Software: Suggested Requirements (XW, AM, MAS, RL), pp. 80–86.
SIGIRSIGIR-2002-JohoSB #approach
Hierarchical approach to term suggestion device (HJ, MS, MB), p. 454.
ITiCSEITiCSE-2001-Sooriamurthi #problem #recursion
Problems in comprehending recursion and suggested solutions (RS), pp. 25–28.
UMLUML-1999-DykmanGK #uml
Nine Suggestions for Improving UML Extensibility (ND, MLG, RRK), pp. 236–248.
SIGIRSIGIR-1998-Tseng #keyword #multi
Multilingual Keyword Extraction for Term Suggestion (YHT), pp. 377–378.
UMLUML-1998-Kivisto #process #uml
Considerations of and Suggestions for a UML-Specific Process Model (KK), pp. 294–306.
HCIHCI-CC-1997-SoongB #visual notation
Some Experimental Suggestions to Assist the Visually Handicapped End-Users to Navigate the Information Space (NLS, GB), pp. 433–436.
CIKMCIKM-1995-HughesW #database #problem
The Index Suggestion Problem for Object Database Applications (EH, MW), pp. 50–57.
DATEEDAC-1994-VermeirenSE #fault #simulation
A Suggestion for Accelerating the Analog Fault Simulation (WV, BS, GE), p. 662.
CSEETCSEE-1994-CallissC #education #maintenance
Suggested Scenarios of Software Maintenance Education (FWC, DTC), pp. 329–340.
SEKESEKE-1994-LuqiG #analysis #certification #synthesis
Suggestions for progress in software analysis, synthesis and certification (L, JAG), pp. 501–507.
HCIHCI-SHI-1993-WatersonO #multi #using
Using Animated Demonstrations in Multimedia Applications: Some Suggestions Based upon Experimental Evidence (PEW, CO), pp. 543–548.
CHIINTERCHI-1993-Verrips
Filtered suggestions (abstract) (JV), p. 467.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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