{"id":"https://openalex.org/W4407953138","doi":"https://doi.org/10.1145/3701551.3703542","title":"Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation","display_name":"Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407953138","doi":"https://doi.org/10.1145/3701551.3703542"},"language":"en","primary_location":{"id":"doi:10.1145/3701551.3703542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059093140","display_name":"Jiafeng Xia","orcid":"https://orcid.org/0009-0000-6018-7725"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng Xia","raw_affiliation_strings":["Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-6018-7725","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440920","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0003-3103-8442"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["Microsoft Research Asia, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3103-8442","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Shanghai, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071156485","display_name":"Hansu Gu","orcid":"https://orcid.org/0000-0002-1426-3210"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hansu Gu","raw_affiliation_strings":["Amazon, Seattle, USA"],"raw_orcid":"https://orcid.org/0000-0002-1426-3210","affiliations":[{"raw_affiliation_string":"Amazon, Seattle, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004237040","display_name":"Tun Lu","orcid":"https://orcid.org/0000-0002-6633-4826"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tun Lu","raw_affiliation_strings":["Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6633-4826","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364191","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-9109-4625"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9109-4625","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004722925","display_name":"Li Shang","orcid":"https://orcid.org/0000-0003-3944-7531"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shang","raw_affiliation_strings":["Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3944-7531","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091087409","display_name":"Ning Gu","orcid":"https://orcid.org/0000-0002-2915-974X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Gu","raw_affiliation_strings":["Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2915-974X","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China, & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"372"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8258052468299866},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.7543085813522339},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5910028219223022},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47689178586006165},{"id":"https://openalex.org/keywords/oracle-database","display_name":"Oracle database","score":0.46385547518730164},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33831918239593506},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3336505889892578},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26335325837135315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258052468299866},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.7543085813522339},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5910028219223022},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47689178586006165},{"id":"https://openalex.org/C2987003710","wikidata":"https://www.wikidata.org/wiki/Q185524","display_name":"Oracle database","level":3,"score":0.46385547518730164},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33831918239593506},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3336505889892578},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26335325837135315},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701551.3703542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5681310197","display_name":null,"funder_award_id":"62172106,61932007,62372113","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W2027731328","https://openalex.org/W2108415592","https://openalex.org/W2171279286","https://openalex.org/W2194775991","https://openalex.org/W2475334473","https://openalex.org/W2583674722","https://openalex.org/W2745534091","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2951645301","https://openalex.org/W2963367478","https://openalex.org/W2963669159","https://openalex.org/W2964296635","https://openalex.org/W2964926209","https://openalex.org/W2984100107","https://openalex.org/W3005219910","https://openalex.org/W3012907770","https://openalex.org/W3033630125","https://openalex.org/W3047015567","https://openalex.org/W3047143719","https://openalex.org/W3101707147","https://openalex.org/W3116172555","https://openalex.org/W3128855716","https://openalex.org/W3153687708","https://openalex.org/W3166774926","https://openalex.org/W3175052625","https://openalex.org/W3210138510","https://openalex.org/W4220974940","https://openalex.org/W4224314868","https://openalex.org/W4249748472","https://openalex.org/W4288280739","https://openalex.org/W4297971002","https://openalex.org/W4306317296","https://openalex.org/W4392384237","https://openalex.org/W4393170238","https://openalex.org/W4396722922","https://openalex.org/W4396758529","https://openalex.org/W6774104917"],"related_works":["https://openalex.org/W1657011257","https://openalex.org/W2342961655","https://openalex.org/W2907335577","https://openalex.org/W2368629829","https://openalex.org/W2265389754","https://openalex.org/W2326878701","https://openalex.org/W4256321408","https://openalex.org/W4234969533","https://openalex.org/W2945574540","https://openalex.org/W2350273309"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,81,169],"methods":[2,19,170],"can":[3,159],"capture":[4],"dynamic":[5,66,74],"user":[6,9,26,38,55,67,75],"preferences":[7,56],"from":[8,25],"historical":[10,27],"interactions":[11,28],"to":[12,29,34,64,87,95,137,150,171],"achieve":[13],"better":[14],"performance.":[15],"However,":[16],"most":[17],"existing":[18],"only":[20],"use":[21],"past":[22,42,92,103,125],"information":[23,45,86,106],"extracted":[24],"train":[30],"the":[31,35,53,58,122,139],"models,":[32],"leading":[33],"deviations":[36],"of":[37],"preference":[39,76],"modeling.":[40],"Besides":[41],"information,":[43,93],"future":[44,59,85,105,127],"is":[46,148],"also":[47,130],"available":[48],"during":[49],"training,":[50],"which":[51,83,120],"contains":[52],"''oracle''":[54],"in":[57,166],"and":[60,104,126],"will":[61],"be":[62,160],"beneficial":[63],"model":[65,89,115,134],"preferences.":[68],"Therefore,":[69],"we":[70],"propose":[71],"an":[72,117],"oracle-guided":[73],"modeling":[77],"method":[78],"for":[79],"sequential":[80,152,168],"(Oracle4Rec),":[82],"leverages":[84],"guide":[88],"training":[90,135],"on":[91],"aiming":[94],"learn":[96],"''forward-looking''":[97],"models.":[98],"Specifically,":[99],"Oracle4Rec":[100,147,158],"first":[101],"extracts":[102],"through":[107,116],"two":[108],"separate":[109],"encoders,":[110],"then":[111],"learns":[112],"a":[113,132,163,176],"forward-looking":[114],"oracle-guiding":[118],"module":[119,165],"minimizes":[121],"discrepancy":[123],"between":[124],"information.":[128],"We":[129],"tailor":[131],"two-phase":[133],"strategy":[136],"make":[138],"guiding":[140],"more":[141],"effective.":[142],"Extensive":[143],"experiments":[144,155],"demonstrate":[145],"that":[146,157],"superior":[149],"state-of-the-art":[151],"methods.":[153],"Further":[154],"show":[156],"leveraged":[161],"as":[162],"generic":[164],"other":[167],"improve":[172],"their":[173],"performance":[174],"with":[175],"considerable":[177],"margin.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}