{"id":"https://openalex.org/W4409309502","doi":"https://doi.org/10.1145/3719344","title":"Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation","display_name":"Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation","publication_year":2025,"publication_date":"2025-04-09","ids":{"openalex":"https://openalex.org/W4409309502","doi":"https://doi.org/10.1145/3719344"},"language":"en","primary_location":{"id":"doi:10.1145/3719344","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719344","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3719344","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059123504","display_name":"Shutong Qiao","orcid":"https://orcid.org/0000-0002-7368-1535"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shutong Qiao","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China","School of Big Data &amp; Software Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-7368-1535","affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &amp; Software Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568954","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0003-0839-8773"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China","School of Big Data &amp; Software, Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0003-0839-8773","affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &amp; Software, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024416196","display_name":"Junhao Wen","orcid":"https://orcid.org/0000-0002-6561-560X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Wen","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China","School of Big Data &amp; Software, Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-6561-560X","affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Big Data &amp; Software, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gao","raw_affiliation_strings":["BNRist, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-7561-5646","affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qun Luo","orcid":"https://orcid.org/0009-0004-8822-4785"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Luo","raw_affiliation_strings":["Tencent Inc., Beijing, China","Tencent, China"],"raw_orcid":"https://orcid.org/0009-0004-8822-4785","affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peixuan Chen","orcid":"https://orcid.org/0009-0006-3508-738X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixuan Chen","raw_affiliation_strings":["Tencent Inc., Beijing, China","Tencent, China"],"raw_orcid":"https://orcid.org/0009-0006-3508-738X","affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059123504"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":11.2195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97897242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"43","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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":0.9876000285148621,"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/session","display_name":"Session (web analytics)","score":0.8532490730285645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654281616210938},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36747485399246216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36662915349006653},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23472890257835388}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8532490730285645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654281616210938},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36747485399246216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36662915349006653},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23472890257835388}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3719344","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719344","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3719344","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719344","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G33910709","display_name":null,"funder_award_id":"62272262, 72442026, 72342032, 72074036, and 62072060","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":43,"referenced_works":["https://openalex.org/W1802825888","https://openalex.org/W2030808931","https://openalex.org/W2040367556","https://openalex.org/W2116341502","https://openalex.org/W2171279286","https://openalex.org/W2171960770","https://openalex.org/W2489292218","https://openalex.org/W2605350416","https://openalex.org/W2809307135","https://openalex.org/W2892880750","https://openalex.org/W2953586472","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W3027879771","https://openalex.org/W3034329572","https://openalex.org/W3101707147","https://openalex.org/W3106433415","https://openalex.org/W3170767867","https://openalex.org/W3173365306","https://openalex.org/W3177063776","https://openalex.org/W3190939583","https://openalex.org/W3206932362","https://openalex.org/W4283702870","https://openalex.org/W4284686273","https://openalex.org/W4296591867","https://openalex.org/W4367046963","https://openalex.org/W4377138220","https://openalex.org/W4384641232","https://openalex.org/W4384648324","https://openalex.org/W4386728933","https://openalex.org/W4386729952","https://openalex.org/W4387846600","https://openalex.org/W4387848745","https://openalex.org/W4389520443","https://openalex.org/W4392367398","https://openalex.org/W4396812190","https://openalex.org/W4396843692","https://openalex.org/W4399061921","https://openalex.org/W4399554739","https://openalex.org/W4400531852","https://openalex.org/W4405674754","https://openalex.org/W4406263938"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"(SBR)":[2],"methods":[3],"often":[4],"rely":[5],"on":[6,168],"user":[7,39,126],"behavior":[8],"data,":[9,18,53],"which":[10],"can":[11,177],"struggle":[12],"with":[13,154,187],"the":[14,54,68,80,102,116,129,144,174,188],"sparsity":[15],"of":[16,56,70,104],"session":[17,57,130],"limiting":[19],"performance.":[20,181],"Researchers":[21],"have":[22,66],"identified":[23],"that":[24,89,173],"beyond":[25],"behavioral":[26,93,155],"signals,":[27],"rich":[28],"semantic":[29,52,91,131,152],"information":[30],"in":[31],"item":[32],"descriptions":[33],"is":[34],"crucial":[35],"for":[36,76],"capturing":[37],"hidden":[38],"intent.":[40],"While":[41],"Large":[42],"Language":[43],"Models":[44],"(LLMs)":[45],"offer":[46],"new":[47],"ways":[48],"to":[49,123,139],"leverage":[50],"this":[51],"challenges":[55],"anonymity,":[58],"short-sequence":[59],"nature,":[60],"and":[61,92,107,149,163],"high":[62],"LLM":[63,74,141],"training":[64,113],"costs":[65],"hindered":[67],"development":[69],"a":[71],"lightweight,":[72],"efficient":[73],"framework":[75,88,100,176],"SBR.":[77],"To":[78],"address":[79],"above":[81],"challenges,":[82],"we":[83,119,147],"propose":[84],"an":[85,135],"LLM-enhanced":[86],"SBR":[87,109],"integrates":[90],"signals":[94],"from":[95,160],"multiple":[96],"views.":[97],"This":[98],"two-stage":[99],"leverages":[101],"strengths":[103],"both":[105,161],"LLMs":[106],"traditional":[108],"models":[110],"while":[111],"minimizing":[112],"costs.":[114],"In":[115,143],"first":[117],"stage,":[118,146],"use":[120],"multi-view":[121],"prompts":[122],"infer":[124],"latent":[125],"intentions":[127],"at":[128,190],"level,":[132],"supported":[133],"by":[134],"intent":[136],"localization":[137],"module":[138],"alleviate":[140],"hallucinations.":[142],"second":[145],"align":[148],"unify":[150],"these":[151],"inferences":[153],"representations,":[156],"effectively":[157,178],"merging":[158],"insights":[159],"large":[162],"small":[164],"models.":[165],"Extensive":[166],"experiments":[167],"two":[169],"real":[170],"datasets":[171],"demonstrate":[172],"LLM4SBR":[175],"improve":[179],"model":[180],"We":[182],"release":[183],"our":[184],"codes":[185],"along":[186],"baselines":[189],"https://github.com/tsinghua-fib-lab/LLM4SBR":[191],".":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-04-10T00:00:00"}
