{"id":"https://openalex.org/W7123348640","doi":"https://doi.org/10.1109/candar68384.2025.00030","title":"Multi-Interest Sequential Recommendation Based on Prompt-Oriented BERT","display_name":"Multi-Interest Sequential Recommendation Based on Prompt-Oriented BERT","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7123348640","doi":"https://doi.org/10.1109/candar68384.2025.00030"},"language":null,"primary_location":{"id":"doi:10.1109/candar68384.2025.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/candar68384.2025.00030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Thirteenth International Symposium on Computing and Networking (CANDAR)","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/A5122905768","display_name":"Yuruo Su","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuruo Su","raw_affiliation_strings":["Hiroshima University,Graduate School of Advanced Science and Engineering,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University,Graduate School of Advanced Science and Engineering,Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122866775","display_name":"Shuai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuai Jiang","raw_affiliation_strings":["Hiroshima University,Graduate School of Advanced Science and Engineering,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University,Graduate School of Advanced Science and Engineering,Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122855939","display_name":"Sayaka Kamei","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sayaka Kamei","raw_affiliation_strings":["Hiroshima University,Graduate School of Advanced Science and Engineering,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University,Graduate School of Advanced Science and Engineering,Japan","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089843232","display_name":"Yasuhiko Morimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiko Morimoto","raw_affiliation_strings":["Hiroshima University,Graduate School of Advanced Science and Engineering,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University,Graduate School of Advanced Science and Engineering,Japan","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113306721"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59711228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9146000146865845,"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":0.9146000146865845,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.009499999694526196,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.007600000128149986,"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/benchmark","display_name":"Benchmark (surveying)","score":0.541100025177002},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5231999754905701},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4828999936580658},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.48010000586509705},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4255000054836273},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.38999998569488525},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3817000091075897},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.37439998984336853},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.3562999963760376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378000259399414},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357999801635742},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5231999754905701},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42500001192092896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3562999963760376},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C509989072","wikidata":"https://www.wikidata.org/wiki/Q15188241","display_name":"Model-driven architecture","level":4,"score":0.34709998965263367},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.34599998593330383},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2994999885559082},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/candar68384.2025.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/candar68384.2025.00030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Thirteenth International Symposium on Computing and Networking (CANDAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.44158971309661865,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2219888463","https://openalex.org/W2963341956","https://openalex.org/W2963367478","https://openalex.org/W2963608065","https://openalex.org/W2964296635","https://openalex.org/W2965898633","https://openalex.org/W2984100107","https://openalex.org/W3133849783","https://openalex.org/W3206127589","https://openalex.org/W4220698623","https://openalex.org/W4224903910","https://openalex.org/W4290944002","https://openalex.org/W4296591867","https://openalex.org/W4296604567","https://openalex.org/W4297971002","https://openalex.org/W4387969535","https://openalex.org/W4404783498","https://openalex.org/W4407953330"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"sequential":[1],"recommendation":[2],"models":[3,132,144],"primarily":[4],"rely":[5],"on":[6,77,122,133],"item":[7,47,49],"ID":[8],"sequences,":[9],"which":[10],"ignore":[11],"semantic":[12,68],"information":[13],"within":[14],"user":[15,52,92],"behaviors":[16],"and":[17,35,51,98,105,135,148],"diverse,":[18],"dynamic":[19,104],"interests.":[20],"To":[21],"address":[22],"these":[23,115],"challenges,":[24],"this":[25],"paper":[26],"proposes":[27],"a":[28,72,81,86,153],"new":[29],"framework":[30],"to":[31],"model":[32,102,129],"users\u2019":[33,103],"long-term":[34,99],"short-term":[36,96],"interests":[37],"with":[38,145],"lower":[39],"resource":[40],"consumption.":[41],"Our":[42],"core":[43],"method":[44],"involves":[45],"converting":[46],"titles,":[48],"genres,":[50],"ratings":[53],"in":[54],"the":[55,67,127],"order":[56],"of":[57,71],"interaction":[58],"history":[59],"into":[60],"semi-structured":[61],"natural":[62],"language":[63,143],"prompts,":[64],"thereby":[65],"leveraging":[66],"understanding":[69],"capabilities":[70],"pre-trained":[73,142],"BERT":[74],"model.":[75],"Building":[76],"this,":[78],"we":[79],"design":[80],"multi-module":[82],"fusion":[83,112,150],"architecture:":[84],"(1)":[85],"Mixture-of-Experts":[87],"(MoE)":[88],"network":[89],"captures":[90],"diverse":[91],"interests;":[93],"(2)":[94],"dedicated":[95],"interest":[97],"preference":[100],"modules":[101],"stable":[106],"tastes,":[107],"respectively;":[108],"(3)":[109],"an":[110],"adaptive":[111],"layer":[113],"integrates":[114],"signals":[116],"for":[117],"precise":[118],"prediction.":[119],"Experimental":[120],"results":[121],"benchmark":[123],"datasets":[124],"show":[125],"that":[126,140],"proposed":[128],"outperforms":[130],"baseline":[131],"Recall":[134],"NDCG.":[136],"This":[137],"study":[138],"demonstrates":[139],"combining":[141],"prompt":[146],"engineering":[147],"multi-interest":[149],"modeling":[151],"is":[152],"practical":[154],"pathway":[155],"toward":[156],"building":[157],"recommender":[158],"systems.":[159]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-01-14T00:00:00"}
