{"id":"https://openalex.org/W2588401322","doi":"https://doi.org/10.1145/2998181.2998263","title":"Efficiently Identifying a Well-Performing Crowd Process for a Given Problem","display_name":"Efficiently Identifying a Well-Performing Crowd Process for a Given Problem","publication_year":2017,"publication_date":"2017-02-14","ids":{"openalex":"https://openalex.org/W2588401322","doi":"https://doi.org/10.1145/2998181.2998263","mag":"2588401322"},"language":"en","primary_location":{"id":"doi:10.1145/2998181.2998263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998181.2998263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.zora.uzh.ch/id/eprint/126988/1/paper369.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036459492","display_name":"Patrick M. de Boer","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Patrick M. de Boer","raw_affiliation_strings":["University of Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073592405","display_name":"Abraham Bernstein","orcid":"https://orcid.org/0000-0002-0128-4602"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Abraham Bernstein","raw_affiliation_strings":["University of Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":0.7839,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78384244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1688","last_page":"1699"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9866999983787537,"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":0.9157452583312988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159754633903503},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6342756748199463},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5823569893836975},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5810897350311279},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5341607332229614},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5237876176834106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4212188720703125},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4130345582962036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36391332745552063},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10758611559867859},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09847068786621094}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9157452583312988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159754633903503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6342756748199463},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5823569893836975},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5810897350311279},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5341607332229614},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5237876176834106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4212188720703125},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4130345582962036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36391332745552063},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10758611559867859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09847068786621094},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2998181.2998263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998181.2998263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:www.zora.uzh.ch:126988","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.zora.uzh.ch/id/eprint/126988/1/paper369.pdf","source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Boer, Patrick M; Bernstein, Abraham  (2017). Efficiently identifying a well-performing crowd process for a given problem.  In: 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), Portland, OR, 25 February 2017 - 1 March 2017, s.n..","raw_type":"Conference or Workshop Item"},{"id":"doi:10.5167/uzh-126988","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-126988","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"pmh:oai:www.zora.uzh.ch:126988","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.zora.uzh.ch/id/eprint/126988/1/paper369.pdf","source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Boer, Patrick M; Bernstein, Abraham  (2017). Efficiently identifying a well-performing crowd process for a given problem.  In: 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), Portland, OR, 25 February 2017 - 1 March 2017, s.n..","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2588401322.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W117998471","https://openalex.org/W972416066","https://openalex.org/W1494186835","https://openalex.org/W1504447461","https://openalex.org/W1524782856","https://openalex.org/W1567142192","https://openalex.org/W1598221548","https://openalex.org/W1605827859","https://openalex.org/W1911845565","https://openalex.org/W1925579137","https://openalex.org/W1979328769","https://openalex.org/W2033743788","https://openalex.org/W2063782051","https://openalex.org/W2078429476","https://openalex.org/W2094485533","https://openalex.org/W2099201756","https://openalex.org/W2102539288","https://openalex.org/W2106411961","https://openalex.org/W2107031757","https://openalex.org/W2114804859","https://openalex.org/W2122067387","https://openalex.org/W2127008633","https://openalex.org/W2129359184","https://openalex.org/W2131141188","https://openalex.org/W2131723483","https://openalex.org/W2133485007","https://openalex.org/W2148479118","https://openalex.org/W2158641818","https://openalex.org/W2160338921","https://openalex.org/W2170716495","https://openalex.org/W2234829506","https://openalex.org/W2241056583","https://openalex.org/W2342597251","https://openalex.org/W2950182411","https://openalex.org/W6817125255"],"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/W4387225845","https://openalex.org/W4382203014","https://openalex.org/W2783383155"],"abstract_inverted_index":{"With":[0],"the":[1,9,42,61,93,103,110,140],"increasing":[2],"popularity":[3],"of":[4,11,60,69,84,105,132],"crowdsourcing":[5,146],"and":[6,71,125],"crowd":[7,17,32,43],"computing,":[8],"question":[10],"how":[12],"to":[13,35,56,77,101,138],"select":[14],"a":[15,20,48,66,82,106,123],"well-performing":[16],"process":[18,33,44],"for":[19,47,143],"problem":[21],"at":[22],"hand":[23],"is":[24,41,120],"growing":[25],"ever":[26],"more":[27],"important.":[28],"Prior":[29],"work":[30],"casted":[31],"selection":[34],"an":[36],"optimization":[37,80],"problem,":[38,62],"whose":[39],"solution":[40],"performing":[45],"best":[46],"user's":[49,111],"problem.":[50],"However,":[51],"existing":[52],"approaches":[53],"require":[54,89],"users":[55],"probabilistically":[57],"model":[58],"aspects":[59],"which":[63],"may":[64,72,135],"entail":[65],"substantial":[67],"investment":[68],"time":[70],"be":[73],"error-prone.":[74],"We":[75],"propose":[76],"use":[78],"black-box":[79,130],"instead,":[81],"family":[83],"techniques":[85],"that":[86],"do":[87],"not":[88],"probabilistic":[90],"modelling":[91],"by":[92],"end":[94],"user.":[95],"Specifically,":[96],"we":[97],"adopt":[98],"Bayesian":[99],"Optimization":[100],"approximate":[102],"maximum":[104],"utility":[107],"function":[108],"quantifying":[109],"(business-)":[112],"objectives":[113],"while":[114],"minimizing":[115],"search":[116],"cost.":[117],"Our":[118],"approach":[119,134],"validated":[121],"in":[122],"simulation":[124],"three":[126],"real-world":[127],"experiments.":[128],"The":[129],"nature":[131],"our":[133],"enable":[136],"us":[137],"reduce":[139],"entry":[141],"barrier":[142],"efficiently":[144],"building":[145],"solutions.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}