{"id":"https://openalex.org/W1995374568","doi":"https://doi.org/10.1145/2487575.2487642","title":"WiseMarket","display_name":"WiseMarket","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W1995374568","doi":"https://doi.org/10.1145/2487575.2487642","mag":"1995374568"},"language":"en","primary_location":{"id":"doi:10.1145/2487575.2487642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2487642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th 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/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":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","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":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","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":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087012731","display_name":"H. V. Jagadish","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. V. Jagadish","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8822,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94029304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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":0.9944999814033508,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9789999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9368288516998291},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7177749872207642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002159953117371},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6941384673118591},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6182651519775391},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6156505942344666},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5715484619140625},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4527967870235443},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.43251579999923706},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3996905982494354},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39203858375549316},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22675853967666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18765869736671448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10657492280006409},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.06860685348510742}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9368288516998291},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7177749872207642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002159953117371},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6941384673118591},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6182651519775391},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6156505942344666},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5715484619140625},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4527967870235443},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.43251579999923706},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3996905982494354},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39203858375549316},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22675853967666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18765869736671448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10657492280006409},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.06860685348510742},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2487575.2487642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2487642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-65992","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000502730600055","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":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W618991820","https://openalex.org/W1551839888","https://openalex.org/W1565898936","https://openalex.org/W1578796163","https://openalex.org/W1580723584","https://openalex.org/W1583345983","https://openalex.org/W1684832230","https://openalex.org/W2015736731","https://openalex.org/W2056748234","https://openalex.org/W2066640191","https://openalex.org/W2075397336","https://openalex.org/W2076357412","https://openalex.org/W2085264282","https://openalex.org/W2121117737","https://openalex.org/W2124499489","https://openalex.org/W2130729668","https://openalex.org/W2139923076","https://openalex.org/W2145492473","https://openalex.org/W2146223937","https://openalex.org/W2150375325","https://openalex.org/W2168144930","https://openalex.org/W2170989440","https://openalex.org/W2979983979","https://openalex.org/W3142588439","https://openalex.org/W4256232447","https://openalex.org/W6654321496"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"The":[0,116],"benefits":[1],"of":[2,12,18,28,31,120,123],"crowdsourcing":[3,42,93],"are":[4,143,150,177],"well-recognized":[5],"today":[6],"for":[7,78,92],"an":[8,89,127],"increasingly":[9],"broad":[10],"range":[11],"problems.":[13,115],"Meanwhile,":[14],"the":[15,26,41,59,136,139,144,147],"rapid":[16],"development":[17],"social":[19,45,50,95,155],"media":[20,51,96,156],"makes":[21],"it":[22,35],"possible":[23],"to":[24,39,48,57,65,68,75,100,159,166],"seek":[25],"wisdom":[27],"a":[29,79,103,121,154,170],"crowd":[30],"targeted":[32],"users.":[33],"However,":[34],"is":[36],"not":[37],"trivial":[38],"implement":[40],"platform":[43],"on":[44,94,112],"media,":[46],"specifically":[47],"make":[49],"users":[52,67,77,99,176],"as":[53,88,146,169],"workers,":[54],"we":[55,84],"need":[56],"address":[58],"following":[60],"two":[61],"challenges:":[62],"1)":[63],"how":[64,74],"motivate":[66],"participate":[69,101],"in":[70,102,131,164],"tasks,":[71],"and":[72,107,134],"2)":[73],"choose":[76],"task.":[80],"In":[81],"this":[82],"paper,":[83],"present":[85],"Wise":[86,117],"Market":[87,118],"effective":[90],"framework":[91],"that":[97],"motivates":[98],"task":[104],"with":[105,126],"care":[106],"correctly":[108],"aggregates":[109],"their":[110],"opinions":[111],"pairwise":[113],"choice":[114],"consists":[119],"set":[122],"investors":[124],"each":[125],"associated":[128],"individual":[129],"confidence":[130],"his/her":[132,161],"prediction,":[133],"after":[135],"investment,":[137],"only":[138],"ones":[140],"whose":[141],"choices":[142],"same":[145],"whole":[148],"market":[149],"granted":[151],"rewards.":[152],"Therefore,":[153],"user":[157],"has":[158],"give":[160],"``best''":[162],"answer":[163],"order":[165],"get":[167],"rewards,":[168],"consequence,":[171],"careless":[172],"answers":[173],"from":[174],"sloppy":[175],"discouraged.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
