{"id":"https://openalex.org/W7131652681","doi":"https://doi.org/10.1109/tkde.2026.3668240","title":"Enhancing Intent Understanding and Preference Learning for Sequential Recommendation","display_name":"Enhancing Intent Understanding and Preference Learning for Sequential Recommendation","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131652681","doi":"https://doi.org/10.1109/tkde.2026.3668240"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2026.3668240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3668240","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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":null,"display_name":"Zhihao Wang","orcid":"https://orcid.org/0009-0008-5966-0325"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-5966-0325","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031461033","display_name":"Bingqian Liu","orcid":"https://orcid.org/0009-0004-1985-0483"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqian Liu","raw_affiliation_strings":["School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-1559-9314"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1559-9314","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451253","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-2165-2636"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2165-2636","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30770786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"5","first_page":"2762","last_page":"2778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7996000051498413,"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":0.7996000051498413,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.02290000021457672,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.01860000006854534,"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/movielens","display_name":"MovieLens","score":0.7949000000953674},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6930999755859375},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6811000108718872},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6348000168800354},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5544999837875366},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.48019999265670776},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4641000032424927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342999815940857},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.7949000000953674},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6930999755859375},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6811000108718872},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5544999837875366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4893999993801117},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.48019999265670776},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4392000138759613},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.40209999680519104},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.33899998664855957},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26489999890327454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2026.3668240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3668240","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5675372752","display_name":null,"funder_award_id":"62032016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,64,85],"aims":[2],"to":[3,36,93,125],"derive":[4],"insights":[5],"from":[6],"user":[7,28,38,78],"interaction":[8],"records":[9],"and":[10,18,30,70,80,90,104,129,139],"make":[11],"predictions":[12],"based":[13],"on":[14,137],"relationships":[15],"between":[16],"users":[17],"items.":[19],"However,":[20],"most":[21],"existing":[22],"approaches":[23],"do":[24],"not":[25],"effectively":[26],"integrate":[27],"intents":[29,79],"preferences,":[31],"which":[32],"limits":[33],"their":[34],"capability":[35],"capture":[37],"behavior":[39],"patterns.":[40],"Additionally,":[41],"these":[42,55],"methods":[43],"often":[44],"struggle":[45],"with":[46],"poor":[47],"performance":[48,128,143],"in":[49,116],"sparse":[50,117],"data":[51,118],"scenarios.":[52,150],"To":[53],"address":[54],"challenges,":[56],"we":[57,107],"propose":[58],"<italic":[59,73,132],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,74,133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">EL4SR</i>,":[61],"a":[62,83],"sequential":[63],"approach":[65],"by":[66],"integrating":[67],"intent":[68,103,109],"understanding":[69],"preference":[71],"learning.":[72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">EL4SR</i>":[75],"simultaneously":[76],"learns":[77],"preferences":[81],"through":[82,111],"dual-channel":[84],"module,":[86],"modeling":[87],"both":[88],"item":[89],"popularity":[91],"sequences":[92],"enable":[94],"mutual":[95],"learning":[96,110],"that":[97],"captures":[98],"the":[99,127,142],"combined":[100],"effects":[101],"of":[102,131,144],"preference.":[105],"Moreover,":[106],"enhance":[108],"contrastive":[112],"learning,":[113],"improving":[114],"adaptability":[115],"contexts.":[119],"We":[120],"design":[121],"several":[122],"augmentation":[123],"operators":[124],"improve":[126],"robustness":[130],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">EL4SR</i>.":[134],"Extensive":[135],"experiments":[136],"MovieLens":[138],"Amazon":[140],"demonstrate":[141],"our":[145],"proposed":[146],"method":[147],"across":[148],"various":[149]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-02-27T00:00:00"}
