{"id":"https://openalex.org/W4416016630","doi":"https://doi.org/10.1145/3746252.3761014","title":"TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation","display_name":"TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416016630","doi":"https://doi.org/10.1145/3746252.3761014"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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":null,"display_name":"Xinchen Yuan","orcid":"https://orcid.org/0009-0004-6845-7573"},"institutions":[{"id":"https://openalex.org/I4210154710","display_name":"Wuxi Taihu Hospital","ror":"https://ror.org/05qp6pd10","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinchen Yuan","raw_affiliation_strings":["Wuxi Taihu University, Wuxi, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0004-6845-7573","affiliations":[{"raw_affiliation_string":"Wuxi Taihu University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210154710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089283502","display_name":"Yichao Lu","orcid":"https://orcid.org/0009-0001-2005-1724"},"institutions":[{"id":"https://openalex.org/I4210086755","display_name":"Alpha Technologies (Canada)","ror":"https://ror.org/0006jev58","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210086755"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yichao Lu","raw_affiliation_strings":["Alpha 8 AI, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0009-0001-2005-1724","affiliations":[{"raw_affiliation_string":"Alpha 8 AI, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I4210086755"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210154710"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45514859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4003","last_page":"4013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9351999759674072,"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":0.9351999759674072,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.011900000274181366,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0071000000461936,"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":0.6743000149726868},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5909000039100647},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5383999943733215},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5145000219345093},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49129998683929443},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.444599986076355},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.35690000653266907},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35659998655319214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030999898910522},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6743000149726868},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5909000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755000114440918},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5383999943733215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.534500002861023},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5145000219345093},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.33869999647140503},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2017121215","https://openalex.org/W2157331557","https://openalex.org/W2590019597","https://openalex.org/W2783272285","https://openalex.org/W2788953034","https://openalex.org/W2790271700","https://openalex.org/W2893085659","https://openalex.org/W2899457523","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2964926209","https://openalex.org/W2971196067","https://openalex.org/W2984100107","https://openalex.org/W2986515219","https://openalex.org/W3034329572","https://openalex.org/W3045200674","https://openalex.org/W3048202504","https://openalex.org/W3065542300","https://openalex.org/W3080292067","https://openalex.org/W3108655343","https://openalex.org/W3133849783","https://openalex.org/W3201861986","https://openalex.org/W3210938103","https://openalex.org/W4205543950","https://openalex.org/W4224316819","https://openalex.org/W4281488643","https://openalex.org/W4284702430","https://openalex.org/W4386729281","https://openalex.org/W4392384604","https://openalex.org/W4393153621","https://openalex.org/W4393153637","https://openalex.org/W4393931142","https://openalex.org/W4400526084","https://openalex.org/W4402127175","https://openalex.org/W4403577471","https://openalex.org/W4406167867"],"related_works":[],"abstract_inverted_index":{"Sequential/session-based":[0,133],"recommendation":[1,15,48,213],"models":[2,16],"aim":[3],"to":[4,74,119,188],"learn":[5],"evolving":[6],"user":[7,11,51,85,149,192],"preferences":[8],"from":[9],"historical":[10],"behaviors.":[12],"State-of-the-art":[13],"sequential/session-based":[14],"often":[17],"use":[18],"graph":[19,76,156],"neural":[20,29,77,157],"networks":[21,30,158],"or":[22],"self-attention":[23],"as":[24],"their":[25],"building":[26],"blocks.":[27],"Graph":[28],"excel":[31],"at":[32],"learning":[33,130,164],"local":[34],"patterns":[35],"encoded":[36],"in":[37,67,184],"graph-structured":[38],"data":[39],"and":[40,71,113,143,159,177,181,214],"have":[41],"therefore":[42],"shown":[43],"great":[44,108],"performance":[45,109,209],"on":[46,59,80,110,198,210],"session-based":[47,114,215],"datasets,":[49],"where":[50,83],"interactions":[52,86],"are":[53,63,72,87,151],"usually":[54],"relatively":[55],"short.":[56],"Self-attentive":[57],"models,":[58],"the":[60,92,170,190],"other":[61],"hand,":[62],"much":[64],"more":[65,88],"powerful":[66],"capturing":[68],"long-range":[69],"dependencies":[70],"able":[73],"outperform":[75],"network-based":[78],"approaches":[79],"sequential":[81,112,145,212],"recommendation,":[82],"longer":[84],"frequent.":[89],"As":[90],"such,":[91],"recommender":[93],"systems":[94],"community":[95],"has":[96],"noted":[97],"a":[98,101,127],"lack":[99],"of":[100],"unified":[102],"framework":[103,131],"that":[104,205],"can":[105],"simultaneously":[106],"achieve":[107],"both":[111,211],"recommendation.":[115,216],"In":[116],"an":[117],"effort":[118],"fill":[120],"this":[121,123],"gap,":[122],"paper":[124],"presents":[125],"TriSeRec,":[126],"Tri-view":[128],"representation":[129,163],"for":[132,194],"Recommendation.":[134],"By":[135],"converting":[136],"interaction":[137],"sequences":[138],"into":[139],"two":[140],"graphical":[141],"views":[142,187],"one":[144],"view,":[146],"three":[147,186],"view-specific":[148],"representations":[150,193],"learned":[152],"by":[153],"TriSeRec":[154,206],"using":[155],"self-attention.":[160],"The":[161],"tri-view":[162],"module,":[165],"which":[166],"is":[167],"built":[168],"upon":[169],"recently":[171],"proposed":[172],"generalized":[173],"Cauchy-Schwarz":[174],"divergence,":[175],"disentangles":[176],"then":[178],"fuses":[179],"consistent":[180],"complementary":[182],"information":[183],"all":[185],"form":[189],"final":[191],"next-item":[195],"predictions.":[196],"Experiments":[197],"popular":[199],"large-scale,":[200],"real-world":[201],"benchmark":[202],"datasets":[203],"show":[204],"achieves":[207],"state-of-the-art":[208]},"counts_by_year":[],"updated_date":"2025-11-08T23:25:12.792448","created_date":"2025-11-08T00:00:00"}
