{"id":"https://openalex.org/W2052301647","doi":"https://doi.org/10.1145/2365952.2366009","title":"Collaborative learning of preference rankings","display_name":"Collaborative learning of preference rankings","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2052301647","doi":"https://doi.org/10.1145/2365952.2366009","mag":"2052301647"},"language":"en","primary_location":{"id":"doi:10.1145/2365952.2366009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2366009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM conference on Recommender systems","raw_type":"proceedings-article"},"type":"article","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/A5082512329","display_name":"Tim Salimans","orcid":null},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tim Salimans","raw_affiliation_strings":["Erasmus School of Economics, Rotterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus School of Economics, Rotterdam, Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111896742","display_name":"Ulrich Paquet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ulrich Paquet","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051619646","display_name":"Thore Graepel","orcid":"https://orcid.org/0000-0003-3957-0310"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Thore Graepel","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082512329"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":null,"apc_paid":null,"fwci":0.4955,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67148904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.9226568937301636},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.8245421051979065},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8068037033081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7045223712921143},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.664193868637085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.587685227394104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566878914833069},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.534701943397522},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5007517337799072},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4964049458503723},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.44249391555786133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15006676316261292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12117043137550354}],"concepts":[{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.9226568937301636},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.8245421051979065},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8068037033081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045223712921143},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.664193868637085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.587685227394104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566878914833069},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.534701943397522},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5007517337799072},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4964049458503723},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.44249391555786133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15006676316261292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12117043137550354},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2365952.2366009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2366009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM conference on Recommender systems","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.eur.nl:openaire_cris_publications/1a8e40d8-a248-453b-8486-cfe8fe474cba","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/1a8e40d8-a248-453b-8486-cfe8fe474cba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Salimans, T, Paquet, U & Graepel, T 2012, Collaborative learning of preference rankings. in Proceedings of the sixth ACM conference on Recommender systems. Association for Computing Machinery (ACM), Dublin, Ireland, pp. 261-264. https://doi.org/10.1145/2365952.2366009","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.887.5388","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.887.5388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/166623/RecSys-2012.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1514665","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1514665/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:    (pp. pp. 261-264).   (2012)     ","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1934021597","https://openalex.org/W2108688935","https://openalex.org/W2115305054","https://openalex.org/W2132708887","https://openalex.org/W2132726007","https://openalex.org/W2171396424","https://openalex.org/W6652357192"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W4205262062","https://openalex.org/W4200207182","https://openalex.org/W3126212998","https://openalex.org/W2073850970","https://openalex.org/W1552577690","https://openalex.org/W4206349327"],"abstract_inverted_index":{"We":[0,35],"propose":[1],"a":[2,93],"model":[3,17,79],"for":[4,9,39,99],"learning":[5,87],"user":[6],"preference":[7,24,70],"rankings":[8,29],"the":[10,50,61,67,78],"purpose":[11],"of":[12,52,60,96],"making":[13],"product":[14],"recommendations.":[15],"The":[16,56],"allows":[18],"us":[19],"to":[20],"learn":[21],"from":[22,27],"pairwise":[23],"statements":[25],"or":[26],"(incomplete)":[28],"over":[30],"more":[31],"than":[32],"two":[33,37],"items.":[34,55],"present":[36],"algorithms":[38],"performing":[40],"inference":[41],"in":[42,49,84],"this":[43],"model,":[44],"both":[45],"with":[46],"excellent":[47],"scaling":[48],"number":[51,95],"users":[53],"and":[54],"superior":[57],"predictive":[58],"performance":[59],"new":[62],"method":[63],"is":[64],"demonstrated":[65],"on":[66],"well-known":[68],"sushi":[69],"data":[71],"set.":[72],"In":[73],"addition,":[74],"we":[75,90],"show":[76],"how":[77],"can":[80],"be":[81],"used":[82],"effectively":[83],"an":[85],"active":[86],"setting":[88],"where":[89],"select":[91],"only":[92],"small":[94],"informative":[97],"items":[98],"learning.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
