{"id":"https://openalex.org/W4293248235","doi":"https://doi.org/10.1145/3539813.3545145","title":"Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering","display_name":"Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4293248235","doi":"https://doi.org/10.1145/3539813.3545145"},"language":"en","primary_location":{"id":"doi:10.1145/3539813.3545145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539813.3545145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval","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/A5043008970","display_name":"Siamak Zamany","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Siamak Zamany","raw_affiliation_strings":["Baidu Research, Cupertino, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research, Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103234379","display_name":"Dingcheng Li","orcid":"https://orcid.org/0000-0002-1630-4338"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingcheng Li","raw_affiliation_strings":["Baidu Research, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068755696","display_name":"Hongliang Fei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongliang Fei","raw_affiliation_strings":["Baidu Research, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435527","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-5979-8868"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Baidu Research, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043008970"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9094,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79560249,"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":"254","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9801999926567078,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.963100016117096,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.7258896827697754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002403736114502},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5650282502174377},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.540051281452179},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5000085830688477},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47170138359069824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4556269645690918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4254891276359558},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4249632954597473},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.41703730821609497},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4115387797355652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3538814187049866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3525101840496063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23233702778816223}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7258896827697754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002403736114502},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5650282502174377},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.540051281452179},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5000085830688477},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47170138359069824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4556269645690918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4254891276359558},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4249632954597473},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.41703730821609497},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4115387797355652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3538814187049866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3525101840496063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23233702778816223},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539813.3545145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539813.3545145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval","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/W395933519","https://openalex.org/W1720514416","https://openalex.org/W1971040550","https://openalex.org/W1987431925","https://openalex.org/W2054141820","https://openalex.org/W2069870183","https://openalex.org/W2101409192","https://openalex.org/W2210543184","https://openalex.org/W2253995343","https://openalex.org/W2560674852","https://openalex.org/W2604598531","https://openalex.org/W2605350416","https://openalex.org/W2614794251","https://openalex.org/W2683470288","https://openalex.org/W2783625345","https://openalex.org/W2896457183","https://openalex.org/W2897002648","https://openalex.org/W2950960796","https://openalex.org/W2963085847","https://openalex.org/W2966145721","https://openalex.org/W2978329087","https://openalex.org/W2984020950","https://openalex.org/W3040766084","https://openalex.org/W3116874393","https://openalex.org/W3153832461","https://openalex.org/W3154197656","https://openalex.org/W3183943501","https://openalex.org/W4247950230","https://openalex.org/W4288083766","https://openalex.org/W4299828299","https://openalex.org/W4310895557"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W2377968345","https://openalex.org/W2075040002","https://openalex.org/W2573253449","https://openalex.org/W2126026531","https://openalex.org/W2977378428","https://openalex.org/W2511071455","https://openalex.org/W2369194530"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"are":[2],"an":[3,109],"integral":[4],"component":[5],"of":[6,43,54,64,71,89,98,123,127,134,146,172],"machine":[7],"learning,":[8],"wherein":[9],"collaborative":[10,41,135],"filtering":[11,42,136],"(CF)":[12],"is":[13,91],"among":[14],"the":[15,51,61,68,72,85,96,99,113,120,132,144,147],"most":[16],"prominent":[17],"algorithms":[18],"employed.":[19],"Recently,":[20],"variational":[21],"auto-encoders":[22],"(VAEs)":[23],"with":[24,167],"multinomial":[25],"likelihood":[26],"and":[27,67,158],"weighted":[28,148],"Kullback-Leibler":[29],"(KL)":[30],"regularization":[31],"(referred":[32],"to":[33,95,112],"as":[34,108],"Mult-VAE)":[35],"provide":[36],"state-of-the-":[37],"art":[38],"performance":[39,169],"for":[40,76],"binary":[44,100],"data.":[45],"To":[46],"gain":[47],"deeper":[48],"insight":[49],"into":[50],"objective":[52,66,69],"function":[53,70],"Mult-VAE,":[55],"we":[56,81,161],"build":[57],"a":[58,92,163],"connection":[59],"between":[60,155],"reconstruction":[62,87,125],"term":[63,126,150],"Mult-VAE":[65,90,104],"probabilistic":[73],"n-Choose-k":[74,101,114],"model":[75],"ranking":[77,173],"prediction.":[78],"In":[79],"particular,":[80],"theoretically":[82],"demonstrate":[83],"that":[84],"negative":[86],"error":[88],"lower":[93,129],"bound":[94,130],"log-likelihood":[97],"model.":[102,115],"Hence,":[103],"can":[105],"be":[106],"interpreted":[107],"approximate":[110],"proxy":[111],"We":[116],"also":[117],"empirically":[118],"show":[119],"essential":[121],"role":[122,145],"this":[124],"evidence":[128],"in":[131,151,170],"context":[133],"on":[137],"multiple":[138],"real-world":[139],"datasets.":[140],"Finally,":[141],"inspired":[142],"by":[143],"KL":[149],"maximizing":[152],"mutual":[153],"information":[154],"observed":[156],"ratings":[157],"latent":[159],"variables,":[160],"propose":[162],"semi-implicit":[164],"VAE":[165],"framework":[166],"superior":[168],"terms":[171],"metrics.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
