{"id":"https://openalex.org/W4321485713","doi":"https://doi.org/10.1145/3539597.3570389","title":"Disentangled Representation for Diversified Recommendations","display_name":"Disentangled Representation for Diversified Recommendations","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321485713","doi":"https://doi.org/10.1145/3539597.3570389"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3570389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","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/A5100449449","display_name":"Xiaoying Zhang","orcid":"https://orcid.org/0000-0003-3321-5940"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaoying Zhang","raw_affiliation_strings":["AI Lab, Bytedance Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Lab, Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011508837","display_name":"Hang Li","orcid":"https://orcid.org/0000-0001-9628-3487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["AI Lab, Bytedance Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Lab, Bytedance Inc., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100449449"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8725,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96824406,"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":"490","last_page":"498"},"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":0.9969000220298767,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.7584524154663086},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.7465004920959473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188575267791748},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6977229714393616},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5641359686851501},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5253338813781738},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.485811710357666},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47775307297706604},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.46873077750205994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39518502354621887},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15731212496757507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14540117979049683},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.11603149771690369},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08409956097602844}],"concepts":[{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.7584524154663086},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.7465004920959473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188575267791748},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6977229714393616},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5641359686851501},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5253338813781738},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.485811710357666},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47775307297706604},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.46873077750205994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39518502354621887},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15731212496757507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14540117979049683},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.11603149771690369},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08409956097602844},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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:10.1145/3539597.3570389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2033213271","https://openalex.org/W2049633694","https://openalex.org/W2111094216","https://openalex.org/W2146502635","https://openalex.org/W2155912844","https://openalex.org/W2512971201","https://openalex.org/W2604639157","https://openalex.org/W2723293840","https://openalex.org/W2765564115","https://openalex.org/W2798369493","https://openalex.org/W2897429051","https://openalex.org/W2902572901","https://openalex.org/W2911495555","https://openalex.org/W2911936302","https://openalex.org/W2912801008","https://openalex.org/W2963323306","https://openalex.org/W2966283114","https://openalex.org/W2972389703","https://openalex.org/W2998534896","https://openalex.org/W3012950066","https://openalex.org/W3038744824","https://openalex.org/W3100521056","https://openalex.org/W3100945072","https://openalex.org/W3105195949","https://openalex.org/W3138773240","https://openalex.org/W3152663991","https://openalex.org/W3154345605","https://openalex.org/W3156622960","https://openalex.org/W3210341087","https://openalex.org/W4284669007","https://openalex.org/W4299687421"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Accuracy":[0],"and":[1],"diversity":[2,21,39],"have":[3],"long":[4,48],"been":[5],"considered":[6],"to":[7,75],"be":[8,41],"two":[9],"conflicting":[10],"goals":[11],"for":[12,62],"recommendations.":[13],"We":[14],"point":[15],"out,":[16],"however,":[17],"that":[18],"as":[19,32,47,49],"the":[20,33,50,53,57,77,83,86,90,94],"is":[22,80],"typically":[23],"measured":[24],"by":[25,82],"certain":[26],"pre-selected":[27,58,91],"item":[28,87],"attributes,":[29],"e.g.,":[30],"category":[31],"most":[34],"popularly":[35],"employed":[36],"one,":[37],"improved":[38],"can":[40],"achieved":[42],"without":[43],"sacrificing":[44],"recommendation":[45],"accuracy,":[46],"diversification":[51],"respects":[52],"user's":[54,68,78],"preference":[55],"about":[56],"attributes.":[59],"This":[60],"calls":[61],"a":[63,67],"fine-grained":[64],"understanding":[65],"of":[66,85,93],"preferences":[69],"over":[70],"items,":[71],"where":[72],"one":[73],"needs":[74],"recognize":[76],"choice":[79],"driven":[81],"quality":[84],"itself,":[88],"or":[89],"attributes":[92],"item.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
