BibSLEIGH — crowdsourcing tag

crowdsourcing

crowdsourcing

Tag #crowdsourcing

205 papers:

EDM-2019-WhitehillAH #learning #predict #what: Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains (JW, CA, BH).
CHI-PLAY-2019-ParanthamanC #development #game studies #named #towards: ARAPID: Towards Integrating Crowdsourced Playtesting into the Game Development Environment (PKP, SC), pp. 121–133.
CHI-PLAY-2019-PonnadaCTMJI #design #game studies #process #recognition #research: Designing Videogames to Crowdsource Accelerometer Data Annotation for Activity Recognition Research (AP, SC, BTC, JAM, DJ, SSI), pp. 135–147.
ICGJ-2019-GamaRGGCFS #generative: Mapathons and Hackathons to Crowdsource the Generation and Usage of Geographic Data (KG, VR, CG, BAG, SC, NF, NS), p. 5.
CIKM-2019-QiuSR #platform #rating: Rating Mechanisms for Sustainability of Crowdsourcing Platforms (CQ, ACS, SMR), pp. 2003–2012.
CIKM-2019-RekatsinasDP #adaptation #named #performance #query: CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction (TR, AD, AGP), pp. 841–850.
ECIR-p1-2019-FerranteFL #probability: Stochastic Relevance for Crowdsourcing (MF, NF0, EL), pp. 755–762.
ICML-2019-LiRC #correlation: Exploiting Worker Correlation for Label Aggregation in Crowdsourcing (YL0, BIPR, TC), pp. 3886–3895.
KDD-2019-CuiDZYZ0 #ranking: Hidden POI Ranking with Spatial Crowdsourcing (YC, LD, YZ0, BY0, VWZ, KZ0), pp. 814–824.
KDD-2019-LiC0W0 #3d #platform #problem: Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms (BL, YC, YY0, GW, LC0), pp. 1643–1653.
ASE-2019-Yu19a #comprehension #debugging #generative: Crowdsourced Report Generation via Bug Screenshot Understanding (SY), pp. 1277–1279.
ICSE-2019-ChenFMWG #how #implementation #question #reliability #security: How reliable is the crowdsourced knowledge of security implementation? (MC, FF, NM, XW, JG), pp. 536–547.
ICSE-2019-HaoFJL0 #named #summary: CTRAS: crowdsourced test report aggregation and summarization (RH, YF0, JAJ, YL, ZC0), pp. 900–910.
JCDL-2018-TraubSOH #bias: Impact of Crowdsourcing OCR Improvements on Retrievability Bias (MCT, TS, JvO, LH), pp. 29–36.
ICSME-2018-RahmanR #code search #data analysis #effectiveness #query #using: Effective Reformulation of Query for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics (MMR0, CKR), pp. 473–484.
ICSME-2018-RahmanR18a #api #code search #data analysis #named #query #using: NLP2API: Query Reformulation for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics (MMR0, CKR), p. 714.
SANER-2018-ChenJLH0 #assessment #automation #mobile #quality: Automated quality assessment for crowdsourced test reports of mobile applications (XC, HJ, XL, TH, ZC0), pp. 368–379.
SANER-2018-LiuZFJ #generative #testing: Generating descriptions for screenshots to assist crowdsourced testing (DL, XZ, YF, JAJ), pp. 492–496.
CIKM-2018-InelHLGSSKA #topic: Studying Topical Relevance with Evidence-based Crowdsourcing (OI, GH, DL, CVG, ZS, ES, EK, LA), pp. 1253–1262.
CIKM-2018-MizusawaTMAM #performance #pipes and filters #workflow: Efficient Pipeline Processing of Crowdsourcing Workflows (KM, KT, MM, TA, AM), pp. 1559–1562.
ICML-2018-ImamuraSS #analysis #clustering #fault: Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model (HI, IS, MS), pp. 2152–2161.
ICML-2018-KleindessnerA: Crowdsourcing with Arbitrary Adversaries (MK, PA), pp. 2713–2722.
KDD-2018-ZhangW #multi: Multi-Label Inference for Crowdsourcing (JZ, XW0), pp. 2738–2747.
ASE-2018-Ye0WW #developer #personalisation #recommendation: Personalized teammate recommendation for crowdsourced software developers (LY, HS0, XW, JW), pp. 808–813.
CASE-2018-FaddaPVM: Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project (EF, GP, VV, DM), pp. 1243–1248.
AIIDE-2017-Lamb #social #social media: Crowdsourced Social Media Poetry (CEL), pp. 295–297.
CHI-PLAY-2017-BirkFM #experience: Age-Based Preferences and Player Experience: A Crowdsourced Cross-sectional Study (MVB, MAF, RLM), pp. 157–170.
CIKM-2017-Han0SWL #information management #scheduling: Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition (TH0, HS0, YS, ZW, XL), pp. 1059–1068.
CIKM-2017-KhandpurJJ0LR #detection #social #social media #using: Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media (RPK, TJ, STKJ, GW0, CTL, NR), pp. 1049–1057.
CIKM-2017-LiBK: Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing (JL, YB, HK), pp. 1069–1078.
CIKM-2017-WengLHF #multi: Crowdsourced Selection on Multi-Attribute Data (XW, GL0, HH, JF), pp. 307–316.
CIKM-2017-YuanLLZ #platform: Sybil Defense in Crowdsourcing Platforms (DY, GL0, QL0, YZ), pp. 1529–1538.
CIKM-2017-ZhaoLWS0: Destination-aware Task Assignment in Spatial Crowdsourcing (YZ0, YL, YW, HS, KZ0), pp. 297–306.
ECIR-2017-CeroniGF #constraints #corpus #named #strict #validation: JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints (AC, UG, MF), pp. 484–492.
ECIR-2017-HuiB #quality #transitive: Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing (KH, KB), pp. 239–251.
KDD-2017-SalehianHL #approach #machine learning #scalability: Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach (HS, PDH, CL), pp. 2001–2009.
Onward-2017-WilsonPK #design #question: Can we crowdsource language design? (PTW, JP, SK), pp. 1–17.
ASE-2017-WangSFY #developer #recommendation: Recommending crowdsourced software developers in consideration of skill improvement (ZW, HS0, YF, LY), pp. 717–722.
ICSE-2017-RojasWCF #effectiveness #game studies #mutation testing #testing: Code defenders: crowdsourcing effective tests and subtle mutants with a mutation testing game (JMR, TDW, BSC, GF), pp. 677–688.
SLE-2017-BrambillaCIM #domain-specific language #using: Better call the crowd: using crowdsourcing to shape the notation of domain-specific languages (MB, JC, JLCI, AM), pp. 129–138.
EDM-2016-LiCG #how #summary: How Good Is Popularity? Summary Grading in Crowdsourcing (HL, ZC, ACG), pp. 430–435.
SANER-2016-RahmanRL #api #automation #named #recommendation #using: RACK: Automatic API Recommendation Using Crowdsourced Knowledge (MMR0, CKR, DL0), pp. 349–359.
AIIDE-2016-HarrisonR #learning #using: Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents (BH, MOR), pp. 183–189.
CIKM-2016-BansalEH: Active Content-Based Crowdsourcing Task Selection (PB, CE, TH), pp. 529–538.
CIKM-2016-QiuSCCK #behaviour #named #predict: CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection (CQ, ACS, BC, JC, DRK), pp. 539–548.
ICML-2016-GaoLZ: Exact Exponent in Optimal Rates for Crowdsourcing (CG, YL, DZ), pp. 603–611.
ICML-2016-OkOSY #classification: Optimality of Belief Propagation for Crowdsourced Classification (JO, SO, JS, YY), pp. 535–544.
ICML-2016-ShahZ #self: No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing (NBS, DZ), pp. 1–10.
ICML-2016-XuXCY #assessment #quality #ranking #statistics: False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking (QX, JX, XC, YY0), pp. 1282–1291.
KDD-2016-GaoLZFH #mining #reliability: Mining Reliable Information from Passively and Actively Crowdsourced Data (JG0, QL0, BZ0, WF0, JH0), pp. 2121–2122.
ASE-2016-PengGT0YNZ #composition #mobile #named: CrowdService: serving the individuals through mobile crowdsourcing and service composition (XP, JG, THT, JS, YY, BN, WZ), pp. 214–219.
ASE-2016-RahmanR #automation #concept #named #query #using: QUICKAR: automatic query reformulation for concept location using crowdsourced knowledge (MMR, CKR), pp. 220–225.
ASE-2016-WangWCW #classification #testing: Local-based active classification of test report to assist crowdsourced testing (JW, SW, QC, QW), pp. 190–201.
ICSE-2016-FavaSOSW #classification #game studies: Crowdsourcing program preconditions via a classification game (DF, DS, JCO, MS, EJWJ), pp. 1086–1096.
ASPLOS-2016-ParkAMTE #approximate #named #quality #towards: AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing (JP, EA, DM, BT, HE), pp. 623–636.
FASE-2016-BadashianHS #debugging #platform: Crowdsourced Bug Triaging: Leveraging Q&A Platforms for Bug Assignment (ASB, AH, ES), pp. 231–248.
JCDL-2015-AlonsoMN #debugging: Debugging a Crowdsourced Task with Low Inter-Rater Agreement (OA, CCM, MN), pp. 101–110.
JCDL-2015-DuanOSK #estimation #multi: Multi-Emotion Estimation in Narratives from Crowdsourced Annotations (LD, SO, HS, MK), pp. 91–100.
JCDL-2015-OrganisciakD #consistency #evaluation #multi #similarity: Improving Consistency of Crowdsourced Multimedia Similarity for Evaluation (PO, JSD), pp. 115–118.
SIGMOD-2015-Anagnostopoulos #performance: The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing (AA, LB, AF, IM, MR), pp. 983–998.
SIGMOD-2015-ChuMIOP0Y #knowledge base #named: KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing (XC, JM, IFI, MO, PP, NT, YY), pp. 1247–1261.
SIGMOD-2015-FanLOTF #adaptation #framework #named: iCrowd: An Adaptive Crowdsourcing Framework (JF, GL, BCO, KLT, JF), pp. 1015–1030.
SIGMOD-2015-VerroiosLG #named: tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations (VV, PL, HGM), pp. 1047–1062.
SIGMOD-2015-ZhengWLCF #named: QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications (YZ, JW, GL, RC, JF), pp. 1031–1046.
VLDB-2015-ChengLCF0HZ #reliability: Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers (PC, XL, ZC, RF, LC, JH, JZ), pp. 1022–1033.
VLDB-2015-ChuOMIP0Y #knowledge base #named #reliability: KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing (XC, MO, JM, IFI, PP, NT, YY), pp. 1952–1963.
VLDB-2015-GaoLZFH #perspective: Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective (JG, QL, BZ, WF, JH), pp. 2048–2059.
VLDB-2015-HaasAGM #named: Argonaut: Macrotask Crowdsourcing for Complex Data Processing (DH, JA, LG, AM), pp. 1642–1653.
VLDB-2015-VesdapuntBD #algorithm: Errata for “Crowdsourcing Algorithms for Entity Resolution” (PVLDB 7(12): 1071-1082) (NV, KB, NND), p. 641.
VLDB-2015-Wu0HZL #towards: Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets (TW, LC, PH, CJZ, WL), pp. 485–496.
ICSME-2015-BadashianHS #debugging: Crowdsourced bug triaging (ASB, AH, ES), pp. 506–510.
ICSME-2015-PalombaVBOPPL #evolution #exclamation #matter: User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps (FP, MLV, GB, RO, MDP, DP, ADL), pp. 291–300.
SCAM-2015-RahmanRK #recommendation #source code #using: Recommending insightful comments for source code using crowdsourced knowledge (MMR, CKR, IK), pp. 81–90.
FDG-2015-GuzdialHLR #interactive: Crowdsourcing Open Interactive Narrative (MG, BH, BL, MR).
CHI-2015-ChengTB: Measuring Crowdsourcing Effort with Error-Time Curves (JC, JT, MSB), pp. 1365–1374.
CHI-2015-CurmiFWM: Crowdsourcing Synchronous Spectator Support: (go on, go on, you’re the best)n-1 (FC, MAF, JW, F'M), pp. 757–766.
CHI-2015-DergousoffM #gamification #mobile: Mobile Gamification for Crowdsourcing Data Collection: Leveraging the Freemium Model (KKD, RLM), pp. 1065–1074.
CHI-2015-EgelmanKC #platform #privacy #ubiquitous: Is This Thing On?: Crowdsourcing Privacy Indicators for Ubiquitous Sensing Platforms (SE, RK, RC), pp. 1669–1678.
CHI-2015-GadirajuKDD #behaviour #comprehension #online #platform: Understanding Malicious Behavior in Crowdsourcing Platforms: The Case of Online Surveys (UG, RK, SD, GD), pp. 1631–1640.
CHI-2015-HongGAA: In-group Questions and Out-group Answers: Crowdsourcing Daily Living Advice for Individuals with Autism (HH, EG, GDA, RIA), pp. 777–786.
CHI-2015-IsmailAKR #security: Crowdsourced Exploration of Security Configurations (QI, TA, AK, MKR), pp. 467–476.
CHI-2015-LaseckiGLLBD #behaviour #privacy #trade-off #video: Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding (WSL, MG, WL, EL, JPB, SPD), pp. 1945–1954.
CHI-2015-LaseckiKRSBB #named #sketching #user interface: Apparition: Crowdsourced User Interfaces that Come to Life as You Sketch Them (WSL, JK, NR, OS, JPB, MSB), pp. 1925–1934.
CHI-2015-Otterbacher #bias #metadata: Crowdsourcing Stereotypes: Linguistic Bias in Metadata Generated via GWAP (JO), pp. 1955–1964.
CHI-2015-RobbPKC #design #feedback #question: Crowdsourced Feedback With Imagery Rather Than Text: Would Designers Use It? (DAR, SP, BK, MJC), pp. 1355–1364.
CSCW-2015-DaiRPC #workflow: And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions (PD, JMR, PP, EHC), pp. 628–638.
CSCW-2015-DantecAMW #representation: Planning with Crowdsourced Data: Rhetoric and Representation in Transportation Planning (CALD, MA, AM, KEW), pp. 1717–1727.
CSCW-2015-GuyHC #enterprise #framework #game studies #platform: Games for Crowds: A Crowdsourcing Game Platform for the Enterprise (IG, AH, YC), pp. 1860–1871.
CSCW-2015-LutherTWPBAHD #design: Structuring, Aggregating, and Evaluating Crowdsourced Design Critique (KL, JLT, WW, AP, BPB, MA, BH, SPD), pp. 473–485.
CSCW-2015-Thebault-Spieker #mobile: Avoiding the South Side and the Suburbs: The Geography of Mobile Crowdsourcing Markets (JTS, LGT, BH), pp. 265–275.
CAiSE-2015-FukusumiMK #approach #data transformation #game studies: Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management (SF, AM, HK), pp. 3–19.
CIKM-2015-AsudehZHLZ: Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons (AA, GZ, NH, CL, GVZ), pp. 753–762.
CIKM-2015-DavtyanEH #documentation #performance: Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes (MD, CE, TH), pp. 783–790.
CIKM-2015-MetrikovPA #integration #learning #rank: Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model (PM, VP, JAA), pp. 1391–1400.
CIKM-2015-ZhangSWFW #quality #using: Improving Label Quality in Crowdsourcing Using Noise Correction (JZ0, VSS, JW0, XF, XW0), pp. 1931–1934.
ICML-2015-Abbasi-YadkoriB #markov #problem #scalability: Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing (YAY, PLB, XC, AM), pp. 1053–1062.
ICML-2015-ShahZP: Approval Voting and Incentives in Crowdsourcing (NBS, DZ, YP), pp. 10–19.
KDD-2015-MaLLQGZSZJH #fine-grained #named: FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation (FM, YL, QL, MQ, JG, SZ, LS, BZ, HJ, JH), pp. 745–754.
KDD-2015-ZhuangPRH: Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.
SEKE-2015-ZhaoSCZ #developer #effectiveness #recommendation #towards: Towards Effective Developer Recommendation in Software Crowdsourcing (SZ, BS, YC, HZ), pp. 326–329.
SIGIR-2015-FayaziLCS #online: Uncovering Crowdsourced Manipulation of Online Reviews (AF, KL, JC, ACS), pp. 233–242.
ESEC-FSE-2015-FengCJFX #testing: Test report prioritization to assist crowdsourced testing (YF, ZC, JAJ, CF, BX), pp. 225–236.
JCDL-2014-FrommholzGLKB #people: Great War stories told by the people — Crowdsourced cultural heritage in digital museums (IF, DG, HL, AK, GB), pp. 419–420.
SIGMOD-2014-GokhaleDDNRSZ #named: Corleone: hands-off crowdsourcing for entity matching (CG, SD, AD, JFN, NR, JWS, XZ), pp. 601–612.
VLDB-2014-ChenFZLXCCCTZ #framework #named #platform: gMission: A General Spatial Crowdsourcing Platform (ZC, RF, ZZ, ZL, LX, LC, PC, CCC, YT, CJZ), pp. 1629–1632.
VLDB-2014-SunRYD #classification #machine learning #named #scalability #using: Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing (CS, NR, FY, AD), pp. 1529–1540.
VLDB-2014-ToGS #framework #privacy: A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing (HT, GG, CS), pp. 919–930.
VLDB-2014-VesdapuntBD #algorithm: Crowdsourcing Algorithms for Entity Resolution (NV, KB, NND), pp. 1071–1082.
FDG-2014-TanSRP #game studies: Initial perceptions of a casual game to crowdsource facial expressions in the wild (CTT, HS, DR, YP).
FDG-2014-TanSRP14a #game studies: A game to crowdsource data for affective computing (CTT, HS, DR, YP).
CHI-2014-CraggsSA #named #query #semantics #video #web: ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging (BC, MKS, JA), pp. 1217–1220.
CHI-2014-DontchevaMBG #learning #performance: Combining crowdsourcing and learning to improve engagement and performance (MD, RRM, JRB, EMG), pp. 3379–3388.
CHI-2014-ForlinesMGB #network #predict #social: Crowdsourcing the future: predictions made with a social network (CF, SM, LG, RB), pp. 3655–3664.
CHI-2014-KimNWGMG #information management: Crowdsourcing step-by-step information extraction to enhance existing how-to videos (JK, PTN, SAW, PJG, RCM, KZG), pp. 4017–4026.
CHI-2014-KongHA: Extracting references between text and charts via crowdsourcing (NK, MAH, MA), pp. 31–40.
CHI-2014-SampathRI #design #performance #platform: Cognitively inspired task design to improve user performance on crowdsourcing platforms (HAS, RR, BI), pp. 3665–3674.
CHI-2014-VaishWCCB: Twitch crowdsourcing: crowd contributions in short bursts of time (RV, KW, JC, BC, MSB), pp. 3645–3654.
DUXU-DI-2014-ChoiCSLY #case study #design: A Study about Designing Reward for Gamified Crowdsourcing System (JC, HC, WS, JL, JY), pp. 678–687.
HIMI-DE-2014-MatsuyamaNKYI #development #mobile: Development of a Mobile Application for Crowdsourcing the Data Collection of Environmental Sounds (MM, RN, HK, JY, TI), pp. 514–524.
SCSM-2014-Abascal-MenaLZGLM #named #using: Worker-Community: Using Crowdsourcing to Link Informal Workers with Potential Clients (RAM, ÉLO, JSZH, BEGT, GLM, HMF), pp. 287–297.
CIKM-2014-NguyenTT #similarity #using: Using Crowdsourcing to Investigate Perception of Narrative Similarity (DN, DT, MT), pp. 321–330.
CIKM-2014-OuyangSTN #detection: Truth Discovery in Crowdsourced Detection of Spatial Events (WRO, MBS, AT, TJN), pp. 461–470.
CIKM-2014-RokickiCZS #design #effectiveness #game studies: Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing (MR, SC, SZ, SS), pp. 1469–1478.
ECIR-2014-HuH #case study #information retrieval: Bringing Information Retrieval into Crowdsourcing: A Case Study (QH, XH), pp. 631–637.
ICML-c2-2014-WangY: Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data (NW, DYY), pp. 1107–1115.
ICML-c2-2014-ZhouCL #identification #multi: Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing (YZ, XC, JL), pp. 217–225.
KDD-2014-WuZTH0 #modelling #personalisation #topic #using #video: Crowdsourced time-sync video tagging using temporal and personalized topic modeling (BW, EZ, BT, AH, QY), pp. 721–730.
KMIS-2014-SilvaR #ontology #roadmap: An Ontology Roadmap for Crowdsourcing Innovation Intermediaries (CS, IR), pp. 54–63.
SIGIR-2014-AlonsoS #query: Building a query log via crowdsourcing (OA, MS), pp. 939–942.
SIGIR-2014-ZhangZLG14a #modelling #multi: Multidimensional relevance modeling via psychometrics and crowdsourcing (YZ, JZ, ML, JG), pp. 435–444.
ICSE-2014-StolF #case study #development: Two’s company, three’s a crowd: a case study of crowdsourcing software development (KJS, BF), pp. 187–198.
CC-2014-AulerBHMT #adaptation #compilation #javascript #jit #performance: Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler (RA, EB, PdH, MM, NT), pp. 218–237.
SIGMOD-2013-GaoLOWC #online: An online cost sensitive decision-making method in crowdsourcing systems (JG, XL, BCO, HW, GC), pp. 217–228.
SIGMOD-2013-WangLKFF #transitive: Leveraging transitive relations for crowdsourced joins (JW, GL, TK, MJF, JF), pp. 229–240.
TPDL-2013-MunyaradziS #assessment #quality: Quality Assessment in Crowdsourced Indigenous Language Transcription (NM, HS), pp. 13–22.
VLDB-2013-ParkW #optimisation #query: Query Optimization over Crowdsourced Data (HP, JW), pp. 781–792.
VLDB-2013-ZhangCJC #nondeterminism: Reducing Uncertainty of Schema Matching via Crowdsourcing (CJZ, LC, HVJ, CCC), pp. 757–768.
FDG-2013-LiLR #game studies #interactive: Crowdsourcing interactive fiction games (BL, SLU, MR), pp. 431–432.
CHI-2013-ChilanaKWG #case study #multi: A multi-site field study of crowdsourced contextual help: usage and perspectives of end users and software teams (PKC, AJK, JOW, TG), pp. 217–226.
CHI-2013-ChiltonLEWL #named #taxonomy: Cascade: crowdsourcing taxonomy creation (LBC, GL, DE, DSW, JAL), pp. 1999–2008.
CHI-2013-HaraLF #artificial reality #identification #problem: Combining crowdsourcing and google street view to identify street-level accessibility problems (KH, VL, JF), pp. 631–640.
CHI-2013-HuangF #exclamation #social: Don’t hide in the crowd!: increasing social transparency between peer workers improves crowdsourcing outcomes (SWH, WTF), pp. 621–630.
CHI-2013-KomarovRG #performance #user interface: Crowdsourcing performance evaluations of user interfaces (SK, KR, KZG), pp. 207–216.
CHI-2013-LaseckiMB #effectiveness #realtime: Warping time for more effective real-time crowdsourcing (WSL, CDM, JPB), pp. 2033–2036.
CHI-2013-MassungCCJP #community #using: Using crowdsourcing to support pro-environmental community activism (EM, DC, KFC, MJ, CP), pp. 371–380.
CHI-2013-ONeillRGM #outsourcing #question: Form digitization in BPO: from outsourcing to crowdsourcing? (JO, SR, AG, DBM), pp. 197–206.
CSCW-2013-HansenSCRG #overview #quality: Quality control mechanisms for crowdsourcing: peer review, arbitration, & expertise at familysearch indexing (DLH, PJS, DC, MR, JG), pp. 649–660.
CSCW-2013-KokkalisKPCBK #email #named: EmailValet: managing email overload through private, accountable crowdsourcing (NK, TK, CP, DC, MSB, SRK), pp. 1291–1300.
DUXU-WM-2013-MeierBBW #navigation #testing: Evaluating a Web-Based Tool for Crowdsourced Navigation Stress Tests (FM, AB, MB, CW), pp. 248–256.
HIMI-D-2013-NakatsuG #case study #design #effectiveness #user interface: Designing Effective User Interfaces for Crowdsourcing: An Exploratory Study (RTN, EBG), pp. 221–229.
CIKM-2013-ChengCWAC #ambiguity: Bootstrapping active name disambiguation with crowdsourcing (YC, ZC, JW, AA, ANC), pp. 1213–1216.
ICML-c1-2013-HoJV #adaptation #classification: Adaptive Task Assignment for Crowdsourced Classification (CJH, SJ, JWV), pp. 534–542.
ICML-c3-2013-ChenLZ #policy: Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing (XC, QL, DZ), pp. 64–72.
KDD-2013-BabaK #estimation #quality #statistics: Statistical quality estimation for general crowdsourcing tasks (YB, HK), pp. 554–562.
KDD-2013-MoZY: Cross-task crowdsourcing (KM, EZ, QY), pp. 677–685.
SEKE-2013-RajasekharanMN #effectiveness #online: Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums (KR, APM, SKN), pp. 119–124.
SIGIR-2013-HungTLA #benchmark #metric #named: BATC: a benchmark for aggregation techniques in crowdsourcing (NQVH, NTT, NTL, KA), pp. 1079–1080.
SIGIR-2013-WangJHW #named #plugin: YaLi: a crowdsourcing plug-in for NERD (YW, LJ, JH, GW), pp. 1111–1112.
SOSP-2013-KasikciZC #concurrent #detection #named: RaceMob: crowdsourced data race detection (BK, CZ, GC), pp. 406–422.
ICST-2013-DolstraVP #testing #user interface: Crowdsourcing GUI Tests (ED, RV, JAP), pp. 332–341.
JCDL-2012-ChenBHFC #categorisation #education: Categorization of computing education resources with utilization of crowdsourcing (YC, PLBI, HwH, EAF, LNC), pp. 121–124.
SIGMOD-2012-PeltS #design #framework #platform #scalability: Designing a scalable crowdsourcing platform (CVP, AS), pp. 765–766.
VLDB-2012-LiuLOSWZ #data analysis #named: CDAS: A Crowdsourcing Data Analytics System (XL, ML, BCO, YS, SW, MZ), pp. 1040–1051.
VLDB-2012-MorishimaSMAF #declarative #framework #named #platform: CyLog/Crowd4U: A Declarative Platform for Complex Data-centric Crowdsourcing (AM, NS, TM, HA, SF), pp. 1918–1921.
VLDB-2012-ParkPPGPW #declarative #named: Deco: A System for Declarative Crowdsourcing (HP, RP, AGP, HGM, NP, JW), pp. 1990–1993.
VLDB-2012-WangKFF #named: CrowdER: Crowdsourcing Entity Resolution (JW, TK, MJF, JF), pp. 1483–1494.
AIIDE-2012-OrkinR #comprehension #interactive #speech: Understanding Speech in Interactive Narratives with Crowdsourced Data (JO, DKR).
CHI-2012-ChilanaKW #named #web: LemonAid: selection-based crowdsourced contextual help for web applications (PKC, AJK, JOW), pp. 1549–1558.
CHI-2012-GuptaTCB #mobile #named: mClerk: enabling mobile crowdsourcing in developing regions (AG, WT, EC, RB), pp. 1843–1852.
CHI-2012-WillettHA #data analysis #social: Strategies for crowdsourcing social data analysis (WW, JH, MA), pp. 227–236.
CSCW-2012-AmbatiVC #collaboration #workflow: Collaborative workflow for crowdsourcing translation (VA, SV, JGC), pp. 1191–1194.
CSCW-2012-KulkarniCH #workflow: Collaboratively crowdsourcing workflows with turkomatic (APK, MC, BH), pp. 1003–1012.
CAiSE-2012-KhazankinSD #predict: Predicting QoS in Scheduled Crowdsourcing (RK, DS, SD), pp. 460–472.
CIKM-2012-GeorgescuPFNG #fault #library: Map to humans and reduce error: crowdsourcing for deduplication applied to digital libraries (MG, DDP, CSF, WN, JG), pp. 1970–1974.
CIKM-2012-KazaiKM #quality: The face of quality in crowdsourcing relevance labels: demographics, personality and labeling accuracy (GK, JK, NMF), pp. 2583–2586.
CIKM-2012-McCreadieMOGJ #using #web: An examination of content farms in web search using crowdsourcing (RM, CM, IO, JG, FJ), pp. 2551–2554.
CIKM-2012-ParameswaranPGPW #declarative #named: Deco: declarative crowdsourcing (AGP, HP, HGM, NP, JW), pp. 1203–1212.
ICML-2012-BachrachGMG #adaptation #how #testing #visual notation: How To Grade a Test Without Knowing the Answers — A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing (YB, TG, TM, JG), p. 108.
ICPR-2012-HuynhL #clustering: Connecting the dots: Triadic clustering of crowdsourced data to map dirt roads (AH, AL), pp. 3766–3769.
SIGIR-2012-EickhoffHVS #quality: Quality through flow and immersion: gamifying crowdsourced relevance assessments (CE, CGH, APdV, PS), pp. 871–880.
SIGIR-2012-GhoshSBGG #microblog #named #topic: Cognos: crowdsourcing search for topic experts in microblogs (SG, NKS, FB, NG, PKG), pp. 575–590.
SIGIR-2012-LeaseA #evaluation: Crowdsourcing for search evaluation and social-algorithmic search (ML, OA), p. 1180.
SIGIR-2012-McCreadieMO #automation #named: CrowdTerrier: automatic crowdsourced relevance assessments with terrier (RM, CM, IO), p. 1005.
SAC-2012-GranitzerHJK #comparison #data transformation #metadata: A comparison of metadata extraction techniques for crowdsourced bibliographic metadata management (MG, MH, KJ, RK), pp. 962–964.
DAC-2012-LiSJ #named #towards #verification: CrowdMine: towards crowdsourced human-assisted verification (WL, SAS, SJ), pp. 1254–1255.
SIGMOD-2011-FranklinKKRX #named #query: CrowdDB: answering queries with crowdsourcing (MJF, DK, TK, SR, RX), pp. 61–72.
VLDB-2011-DoanFKK #data transformation #perspective #platform: Crowdsourcing Applications and Platforms: A Data Management Perspective (AD, MJF, DK, TK), pp. 1508–1509.
DiGRA-2011-NiesenhausMH0 #energy #navigation #performance: Playful Crowdsourcing for Energy- Efficient Automotive Navigation (JN, DM, TH, JZ0).
CHI-2011-GuyPDGT #game studies #graph #social: Guess who?: enriching the social graph through a crowdsourcing game (IG, AP, TD, OG, IT), pp. 1373–1382.
OCSC-2011-KochFB #design #how #online #platform: Online Crowdsourcing in the Public Sector: How to Design Open Government Platforms (GK, JF, SB), pp. 203–212.
CIKM-2011-KazaiKM: Worker types and personality traits in crowdsourcing relevance labels (GK, JK, NMF), pp. 1941–1944.
ECIR-2011-AlonsoB #design #implementation #using: Design and Implementation of Relevance Assessments Using Crowdsourcing (OA, RABY), pp. 153–164.
ECIR-2011-Kazai #evaluation #quality: In Search of Quality in Crowdsourcing for Search Engine Evaluation (GK), pp. 165–176.
SIGIR-2011-AlonsoL #information retrieval: Crowdsourcing for information retrieval: principles, methods, and applications (OA, ML), pp. 1299–1300.
SIGIR-2011-BlancoHHMPTT #evaluation #reliability #using: Repeatable and reliable search system evaluation using crowdsourcing (RB, HH, DMH, PM, JP, HST, DTT), pp. 923–932.
SIGIR-2011-HuangCHHC: Region-based landmark discovery by crowdsourcing geo-referenced photos (YTH, AJC, LCH, WHH, KWC), pp. 1141–1142.
SIGIR-2011-KazaiKKM #comparative #design #evaluation #ranking: Crowdsourcing for book search evaluation: impact of hit design on comparative system ranking (GK, JK, MK, NMF), pp. 205–214.
JCDL-2010-EckertNNBAS #assembly #concept: Crowdsourcing the assembly of concept hierarchies (KE, MN, CN, CB, CA, HS), pp. 139–148.
CHI-2010-HeerB #design #using #visual notation #visualisation: Crowdsourcing graphical perception: using mechanical turk to assess visualization design (JH, MB), pp. 203–212.
ECIR-2010-AlonsoST #retrieval #xml: Crowdsourcing Assessments for XML Ranked Retrieval (OA, RS, MT), pp. 602–606.
SIGIR-2010-Potthast #corpus #wiki: Crowdsourcing a wikipedia vandalism corpus (MP), pp. 789–790.
ICSE-2010-LimQF10a #analysis #named #network #power of #social: StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis (SLL, DQ, AF), pp. 239–242.
WCRE-2009-Storey #outsourcing: Beyond the Lone Reverse Engineer: Insourcing, Outsourcing and Crowdsourcing (MADS), p. 3.
IDGD-2009-Eagle #mobile #named: txteagle: Mobile Crowdsourcing (NE), pp. 447–456.
CHI-2008-KitturCS #user study: Crowdsourcing user studies with Mechanical Turk (AK, EHC, BS), pp. 453–456.