{"id":"https://openalex.org/W2156455250","doi":"https://doi.org/10.1145/2365952.2365961","title":"Multiple objective optimization in recommender systems","display_name":"Multiple objective optimization in recommender systems","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2156455250","doi":"https://doi.org/10.1145/2365952.2365961","mag":"2156455250"},"language":"en","primary_location":{"id":"doi:10.1145/2365952.2365961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2365961","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/A5073748535","display_name":"Mario Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mario Rodriguez","raw_affiliation_strings":["LinkedIn Corp., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Corp., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049142695","display_name":"Christian Posse","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Posse","raw_affiliation_strings":["LinkedIn Corp., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Corp., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086173776","display_name":"Ethan Zhang","orcid":"https://orcid.org/0000-0003-3249-0617"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ethan Zhang","raw_affiliation_strings":["LinkedIn Corp., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Corp., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073748535"],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":13.3508,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.98519939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9980000257492065,"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/T10028","display_name":"Topic Modeling","score":0.9952999949455261,"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/recommender-system","display_name":"Recommender system","score":0.917015552520752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8253018856048584},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7556197643280029},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6278774738311768},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5623583793640137},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5619210600852966},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5456346869468689},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.5424706339836121},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4807572066783905},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4515959918498993},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4414162337779999},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4370788335800171},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3474627137184143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28164905309677124},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.11338019371032715}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.917015552520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253018856048584},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7556197643280029},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6278774738311768},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5623583793640137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5619210600852966},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5456346869468689},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.5424706339836121},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4807572066783905},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4515959918498993},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4414162337779999},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4370788335800171},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3474627137184143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28164905309677124},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.11338019371032715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2365952.2365961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365952.2365961","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W2051928158","https://openalex.org/W2059001985","https://openalex.org/W2063438171","https://openalex.org/W2075607589","https://openalex.org/W2094176536","https://openalex.org/W2112299196","https://openalex.org/W2145664829","https://openalex.org/W2527882685","https://openalex.org/W4210488825"],"related_works":["https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1990601549","https://openalex.org/W2315716767","https://openalex.org/W2374902383","https://openalex.org/W2375695570","https://openalex.org/W4387489691","https://openalex.org/W2139549667"],"abstract_inverted_index":{"We":[0,157,202],"address":[1],"the":[2,52,61,64,72,75,90,95,116,139,144,178,186,210,220,231,234,245,254,258],"problem":[3],"of":[4,27,36,42,63,74,89,177,233,257],"optimizing":[5],"recommender":[6,20,65,96],"systems":[7,131],"for":[8,24,175],"multiple":[9],"relevance":[10,56,87,162],"objectives":[11],"that":[12,22,58,68,81,93,132,138,181,193,268],"are":[13,111,141,182],"not":[14,183,226],"necessarily":[15],"aligned.":[16],"Specifically,":[17],"given":[18],"a":[19,99,112],"system":[21,53],"optimizes":[23],"one":[25,86],"aspect":[26,88],"relevance,":[28],"semantic":[29,76,82,187,235,246],"matching":[30,83],"(as":[31],"defined":[32],"by":[33,185],"any":[34],"notion":[35],"similarity":[37],"between":[38],"source":[39],"and":[40,166,172,237],"target":[41],"recommendation;":[43],"usually":[44],"trained":[45],"on":[46],"CTR),":[47],"we":[48,213,224,239,252,264],"want":[49,108,203,214,227,240],"to":[50,115,124,127,143,150,159,204,215,228,241],"enhance":[51],"with":[54],"additional":[55,161],"signals":[57,163],"will":[59],"increase":[60],"utility":[62,91,179,259],"system,":[66,97],"but":[67,119,147,212],"may":[69],"simultaneously":[70],"sacrifice":[71,230],"quality":[73,232],"match.":[77],"The":[78],"issue":[79],"is":[80,84],"only":[85],"function":[92,180],"drives":[94],"albeit":[98],"significant":[100],"aspect.":[101],"In":[102,261],"talent":[103],"recommendation":[104],"systems,":[105],"job":[106,117],"posters":[107],"candidates":[109,123],"who":[110],"good":[113],"match":[114,188,247],"posted,":[118],"also":[120,148],"prefer":[121],"those":[122],"be":[125,249],"open":[126],"new":[128],"opportunities.":[129],"Recommender":[130],"recommend":[133],"discussion":[134],"groups":[135,140,153],"must":[136],"ensure":[137],"relevant":[142],"users'":[145],"interests,":[146],"need":[149],"favor":[151],"active":[152],"over":[154],"inactive":[155],"ones.":[156],"refer":[158],"these":[160,206,270],"(job-seeking":[164],"intent":[165],"group":[167],"activity)":[168],"as":[169,251],"extraneous":[170,207],"features,":[171],"they":[173],"account":[174],"aspects":[176,256],"captured":[184],"(i.e.":[189],"post-CTR":[190],"down-stream":[191],"utilities":[192],"reflect":[194],"engagement:":[195],"time":[196],"spent":[197],"reading,":[198],"sharing,":[199],"commenting,":[200],"etc).":[201],"include":[205],"features":[208],"into":[209],"recommendations,":[211],"do":[216,225],"so":[217],"while":[218],"satisfying":[219],"following":[221],"requirements:":[222],"1)":[223],"drastically":[229],"match,":[236],"2)":[238],"quantify":[242],"exactly":[243],"how":[244],"would":[248],"affected":[250],"control":[253],"different":[255],"function.":[260],"this":[262],"paper,":[263],"present":[265],"an":[266],"approach":[267],"satisfies":[269],"requirements.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}