{"id":"https://openalex.org/W2533800767","doi":"https://doi.org/10.1145/2983323.2983830","title":"CrowdSelect","display_name":"CrowdSelect","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2533800767","doi":"https://doi.org/10.1145/2983323.2983830","mag":"2533800767"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","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/A5070496959","display_name":"Chenxi Qiu","orcid":"https://orcid.org/0000-0002-5288-4050"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Qiu","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062519505","display_name":"Anna Squicciarini","orcid":"https://orcid.org/0000-0002-7396-1895"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna C. Squicciarini","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057684417","display_name":"Barbara Carminati","orcid":"https://orcid.org/0000-0002-7502-4731"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbara Carminati","raw_affiliation_strings":["Universiy of Insubria, Varese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiy of Insubria, Varese, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084521330","display_name":"Dev Rishi Khare","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dev Rishi Khare","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"539","last_page":"548"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9545207023620605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78023761510849},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7611516714096069},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5774518251419067},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5757566690444946},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5087085366249084},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.443851113319397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4237097501754761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821049928665161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26607245206832886},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09266123175621033},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06940481066703796}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9545207023620605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78023761510849},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7611516714096069},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5774518251419067},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5757566690444946},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5087085366249084},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.443851113319397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237097501754761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821049928665161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26607245206832886},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09266123175621033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06940481066703796},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2983323.2983830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:irinsubria.uninsubria.it:11383/2062594","is_oa":false,"landing_page_url":"http://hdl.handle.net/11383/2062594","pdf_url":null,"source":{"id":"https://openalex.org/S4377196351","display_name":"IrInSubria (University of Insubria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115752224","host_organization_name":"University of Insubria","host_organization_lineage":["https://openalex.org/I115752224"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310419","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W279631868","https://openalex.org/W390146837","https://openalex.org/W658335909","https://openalex.org/W1497882404","https://openalex.org/W1786164014","https://openalex.org/W1930161385","https://openalex.org/W1970381522","https://openalex.org/W1988560072","https://openalex.org/W1995864174","https://openalex.org/W2018369380","https://openalex.org/W2025627988","https://openalex.org/W2048167030","https://openalex.org/W2076357412","https://openalex.org/W2103012681","https://openalex.org/W2104749423","https://openalex.org/W2117014233","https://openalex.org/W2119830539","https://openalex.org/W2121117737","https://openalex.org/W2129345386","https://openalex.org/W2134305421","https://openalex.org/W2140890285","https://openalex.org/W2142518823","https://openalex.org/W2149273804","https://openalex.org/W2149906572","https://openalex.org/W2163522723","https://openalex.org/W2165265965","https://openalex.org/W2182286517","https://openalex.org/W2197771580","https://openalex.org/W2201853392","https://openalex.org/W2294346744","https://openalex.org/W2400382365","https://openalex.org/W2479413759","https://openalex.org/W2798056406","https://openalex.org/W2905110430","https://openalex.org/W2951077615","https://openalex.org/W2989661724","https://openalex.org/W2993330478","https://openalex.org/W4233413206","https://openalex.org/W4251448448","https://openalex.org/W4293223245","https://openalex.org/W6640457054","https://openalex.org/W6679158198","https://openalex.org/W6679959949","https://openalex.org/W6682171051","https://openalex.org/W6770207831"],"related_works":["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","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Crowdsourcing":[0],"allows":[1],"many":[2,28],"people":[3,24],"to":[4,25,53,70,73,90,147,160],"complete":[5,26],"tasks":[6,29,74],"of":[7,19,40,84,101,144],"various":[8],"difficulty":[9],"with":[10],"minimal":[11,96],"recruitment":[12],"and":[13,49,105,116,131,150],"administration":[14],"costs.":[15],"However,":[16],"the":[17,38,54,85,99,108],"lack":[18],"participant":[20],"accountability":[21],"may":[22],"entice":[23],"as":[27,30],"possible":[31],"without":[32],"fully":[33],"engaging":[34],"in":[35,58,75,142,156],"them,":[36],"jeopardizing":[37],"quality":[39],"responses.":[41],"In":[42,88],"this":[43],"paper,":[44],"we":[45,134],"present":[46],"a":[47,66,76,139,153],"dynamic":[48],"time":[50],"efficient":[51,78],"solution":[52],"task":[55],"assignment":[56],"problem":[57],"crowdsourcing":[59],"platforms.":[60],"Our":[61],"proposed":[62],"approach,":[63],"CrowdSelect,":[64],"offers":[65],"theoretically":[67],"proven":[68],"algorithm":[69],"assign":[71],"workers":[72],"cost":[77],"manner,":[79],"while":[80],"ensuring":[81],"high":[82],"accuracy":[83,145,158],"overall":[86],"task.":[87],"contrast":[89],"existing":[91],"works,":[92],"our":[93],"approach":[94],"makes":[95],"assumptions":[97,109],"on":[98],"probability":[100,112],"error":[102],"for":[103],"workers,":[104],"completely":[106],"removes":[107],"that":[110,117,136],"such":[111],"is":[113],"known":[114],"apriori":[115],"it":[118],"remains":[119],"consistent":[120],"over":[121,125,167],"time.":[122],"Through":[123],"experiments":[124],"real":[126],"Amazon":[127],"Mechanical":[128],"Turk":[129],"traces":[130],"synthetic":[132],"data,":[133],"find":[135],"CrowdSelect":[137],"has":[138],"significant":[140],"gain":[141,155],"term":[143],"compared":[146,159],"state-of-the-art":[148],"algorithms,":[149],"can":[151],"provide":[152],"17.5\\%":[154],"answers'":[157],"previous":[161],"methods,":[162],"even":[163],"when":[164],"there":[165],"are":[166],"50\\%":[168],"malicious":[169],"workers.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-10-28T00:00:00"}
