{"id":"https://openalex.org/W1982856917","doi":"https://doi.org/10.1145/2623330.2623647","title":"TCS","display_name":"TCS","publication_year":2014,"publication_date":"2014-08-22","ids":{"openalex":"https://openalex.org/W1982856917","doi":"https://doi.org/10.1145/2623330.2623647","mag":"1982856917"},"language":"en","primary_location":{"id":"doi:10.1145/2623330.2623647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051874566","display_name":"Yongxin Tong","orcid":"https://orcid.org/0000-0002-5598-0312"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yongxin Tong","raw_affiliation_strings":["HKUST, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052597827","display_name":"Caleb Chen Cao","orcid":"https://orcid.org/0000-0002-8050-2486"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Caleb Chen Cao","raw_affiliation_strings":["HKUST, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["HKUST, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":6.0887,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97100555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"861","last_page":"870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8191474676132202},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.780815839767456},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.674620509147644},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.6258301138877869},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6242398023605347},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5889147520065308},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5710243582725525},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4940507709980011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39476022124290466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3612448573112488},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3481186330318451},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.340604305267334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.327553391456604},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28725600242614746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8191474676132202},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.780815839767456},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.674620509147644},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.6258301138877869},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6242398023605347},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5889147520065308},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5710243582725525},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4940507709980011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39476022124290466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3612448573112488},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3481186330318451},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.340604305267334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.327553391456604},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28725600242614746},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2623330.2623647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-65043","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-65043","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1497882404","https://openalex.org/W1518708866","https://openalex.org/W1560512119","https://openalex.org/W1590411898","https://openalex.org/W1618600317","https://openalex.org/W1659337733","https://openalex.org/W1880262756","https://openalex.org/W1970779762","https://openalex.org/W1974554406","https://openalex.org/W1991255919","https://openalex.org/W1993685897","https://openalex.org/W1995374568","https://openalex.org/W2022149269","https://openalex.org/W2028818097","https://openalex.org/W2056748234","https://openalex.org/W2056797132","https://openalex.org/W2069980026","https://openalex.org/W2080234606","https://openalex.org/W2108873957","https://openalex.org/W2110591510","https://openalex.org/W2121117737","https://openalex.org/W2127860643","https://openalex.org/W2130428211","https://openalex.org/W2132211083","https://openalex.org/W2140124448","https://openalex.org/W2145492473","https://openalex.org/W2146341620","https://openalex.org/W2147308966","https://openalex.org/W2150731624","https://openalex.org/W2165599843","https://openalex.org/W2168144930","https://openalex.org/W2171343266","https://openalex.org/W2213788665","https://openalex.org/W6676781583","https://openalex.org/W6680343917","https://openalex.org/W6684489972","https://openalex.org/W6688307389"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W2163814182"],"abstract_inverted_index":{"In":[0,83,100,140],"recent":[1],"years,":[2],"with":[3,89],"the":[4,31,54,65,77,90,98,106,123,155,180,185,189],"widespread":[5],"usage":[6],"of":[7,34,68,76,108,184],"Web":[8],"2.0":[9],"techniques,":[10],"crowdsourcing":[11],"plays":[12],"an":[13,38],"important":[14,39],"role":[15],"in":[16,20,57,142],"offering":[17],"human":[18],"intelligence":[19],"various":[21],"service":[22,36,70,93,113,138],"websites,":[23],"such":[24],"as":[25],"Yahoo!":[26],"Answer":[27],"and":[28,47,79,164,182,188],"Quora.":[29],"With":[30],"increasing":[32],"amount":[33],"crowd-oriented":[35,69,92,112,137],"data,":[37,71],"task":[40,78],"is":[41],"to":[42,64,130,144,178],"analyze":[43],"latest":[44],"hot":[45],"topics":[46,110,134],"track":[48],"topic":[49,121],"evolution":[50],"over":[51,111],"time.":[52,99],"However,":[53],"existing":[55,85],"techniques":[56],"text":[58],"mining":[59],"cannot":[60],"effectively":[61,131],"work":[62],"due":[63],"unique":[66],"structure":[67],"task-response":[72],"pairs,":[73],"which":[74,160],"consists":[75],"its":[80],"corresponding":[81],"responses.":[82],"particular,":[84,141],"approaches":[86],"become":[87],"ineffective":[88],"ever-increasing":[91],"data":[94],"that":[95],"accumulate":[96],"along":[97],"this":[101],"paper,":[102],"we":[103,116,148,174],"first":[104],"study":[105],"problem":[107],"discovering":[109],"data.":[114,139],"Then":[115],"propose":[117],"a":[118,150,165],"new":[119,166],"probabilistic":[120],"model,":[122],"Topic":[124],"Crowd":[125],"Service":[126],"Model":[127],"(TCS":[128],"model),":[129],"discover":[132],"latent":[133],"from":[135],"massive":[136],"order":[143],"train":[145],"TCS":[146,186],"efficiently,":[147],"design":[149],"novel":[151],"parameter":[152],"inference":[153],"algorithm,":[154],"Bucket":[156],"Parameter":[157],"Estimation":[158],"(BPE),":[159],"utilizes":[161],"belief":[162],"propagation":[163],"sketching":[167],"technique,":[168],"called":[169],"Pairwise":[170],"Sketch":[171],"(pSketch).":[172],"Finally,":[173],"conduct":[175],"extensive":[176],"experiments":[177],"verify":[179],"effectiveness":[181],"efficiency":[183],"model":[187],"BPE":[190],"algorithm.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":10}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}