{"id":"https://openalex.org/W4387848851","doi":"https://doi.org/10.1145/3583780.3615245","title":"Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation","display_name":"Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848851","doi":"https://doi.org/10.1145/3583780.3615245"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615245","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5020014761","display_name":"Qian Chen","orcid":"https://orcid.org/0009-0009-8296-5749"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Chen","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0009-8296-5749","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605911","display_name":"Jianjun Li","orcid":"https://orcid.org/0000-0002-5265-7624"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5265-7624","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007911614","display_name":"Zhiqiang Guo","orcid":"https://orcid.org/0000-0001-9393-4854"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Guo","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9393-4854","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337866","display_name":"Guohui Li","orcid":"https://orcid.org/0000-0001-6984-1914"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohui Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6984-1914","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102880502","display_name":"Zhiying Deng","orcid":"https://orcid.org/0000-0002-7554-0920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Deng","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7554-0920","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3793","last_page":"3797"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9896000027656555,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9678999781608582,"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/news-aggregator","display_name":"News aggregator","score":0.9020000696182251},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8732572793960571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654920220375061},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.634499728679657},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5388564467430115},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4546244442462921},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42724037170410156},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41815224289894104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37011998891830444},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3530188202857971},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2475610375404358},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10152670741081238}],"concepts":[{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.9020000696182251},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8732572793960571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654920220375061},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.634499728679657},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5388564467430115},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4546244442462921},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42724037170410156},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41815224289894104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37011998891830444},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3530188202857971},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2475610375404358},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10152670741081238},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615245","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3956001165","display_name":null,"funder_award_id":"62272176","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":21,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2469952266","https://openalex.org/W2605350416","https://openalex.org/W2745534091","https://openalex.org/W2899457523","https://openalex.org/W2953586472","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W3034329572","https://openalex.org/W3034352512","https://openalex.org/W3080292067","https://openalex.org/W3093800735","https://openalex.org/W3101707147","https://openalex.org/W3132387739","https://openalex.org/W3153468025","https://openalex.org/W4206366028","https://openalex.org/W4213298164","https://openalex.org/W4224110370","https://openalex.org/W4284713631","https://openalex.org/W4285119160","https://openalex.org/W4384625806"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W2012785328","https://openalex.org/W2015184777","https://openalex.org/W962287279","https://openalex.org/W3112734853","https://openalex.org/W3140270587"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"(SBR)":[2],"aims":[3],"to":[4,90,96,149],"predict":[5],"the":[6,13,32,71,101,138,151,182,185,195],"anonymous":[7],"user's":[8],"next-click":[9],"items":[10,68],"by":[11,46,50],"modeling":[12],"short-term":[14],"sequence":[15,34,135],"pattern.":[16,128],"As":[17],"most":[18,170],"existing":[19,171],"SBR":[20,172],"models":[21],"generally":[22],"generate":[23,150],"item":[24],"representations":[25,122,133,154],"based":[26],"only":[27],"on":[28,59,176],"information":[29],"propagation":[30],"over":[31,188],"short":[33,51],"while":[35],"ignoring":[36,70],"additional":[37],"valuable":[38],"knowledge,":[39],"their":[40],"expressive":[41],"abilities":[42],"are":[43],"somewhat":[44],"limited":[45],"data":[47],"sparsity":[48],"caused":[49],"sequence.":[52],"Though":[53],"there":[54,75],"have":[55,85],"been":[56],"some":[57],"attempts":[58],"utilizing":[60],"items'":[61],"attributes,":[62,92],"they":[63],"basically":[64],"embed":[65],"attributes":[66],"into":[67],"directly,":[69],"fact":[72],"that":[73],"1)":[74],"is":[76,162],"no":[77],"contextual":[78],"relationship":[79],"among":[80],"attributes;":[81],"and":[82,126,141,197],"2)":[83],"users":[84],"varying":[86],"levels":[87],"of":[88,184,199],"attention":[89],"different":[91],"which":[93,117],"still":[94],"leads":[95],"unsatisfactory":[97],"performance.":[98],"To":[99],"tackle":[100],"issues,":[102],"we":[103,118,130,142],"propose":[104],"a":[105,156],"novel":[106],"Attribute-enhanced":[107],"Dual":[108],"Channel":[109],"Representation":[110],"Learning":[111],"(ADRL)":[112],"model":[113,120],"for":[114],"SBR,":[115],"in":[116,123],"independently":[119],"session":[121,132,139,153],"attribute-related":[124,152],"pattern":[125],"sequence-related":[127],"Specifically,":[129],"learn":[131],"with":[134,169],"patterns":[136],"from":[137],"graph,":[140],"further":[143],"design":[144],"an":[145],"frequency-driven":[146],"attribute":[147,160,201],"aggregator":[148,161,202],"within":[155],"session.":[157],"The":[158],"proposed":[159,186],"plug-and-play,":[163],"as":[164,192,194],"it":[165],"can":[166],"be":[167],"coupled":[168],"models.":[173],"Extensive":[174],"experiments":[175],"three":[177],"real-world":[178],"public":[179],"datasets":[180],"demonstrate":[181],"superiority":[183],"ADRL":[187],"several":[189],"state-of-the-art":[190],"baselines,":[191],"well":[193],"effectiveness":[196],"efficiency":[198],"our":[200],"module.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}