{"id":"https://openalex.org/W4416251977","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228028","title":"Meta-optimized Session-based Recommendation with Adaptive Multi-level User Intent Integration","display_name":"Meta-optimized Session-based Recommendation with Adaptive Multi-level User Intent Integration","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251977","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228028"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":"https://openalex.org/A5041233008","display_name":"Zhenchao Wu","orcid":"https://orcid.org/0000-0003-4916-093X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenchao Wu","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035141289","display_name":"Hongteng Xu","orcid":"https://orcid.org/0000-0003-4192-5360"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongteng Xu","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385692","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-9943-6020"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041233008"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49497924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9491999745368958,"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":0.9491999745368958,"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":0.007400000002235174,"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":0.006099999882280827,"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":0.8222000002861023},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5414000153541565},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46209999918937683},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.44519999623298645},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.398499995470047}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8222000002861023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076000213623047},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.527999997138977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.398499995470047},{"id":"https://openalex.org/C71191987","wikidata":"https://www.wikidata.org/wiki/Q763744","display_name":"User agent","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2856000065803528},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2696000039577484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":25,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2171279286","https://openalex.org/W2507741081","https://openalex.org/W2746011824","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2964044287","https://openalex.org/W2964105864","https://openalex.org/W2986515219","https://openalex.org/W3034329572","https://openalex.org/W3043239945","https://openalex.org/W3112334685","https://openalex.org/W3173365306","https://openalex.org/W3177063776","https://openalex.org/W4212931205","https://openalex.org/W4213298164","https://openalex.org/W4226253567","https://openalex.org/W4226336143","https://openalex.org/W4284702430","https://openalex.org/W4321485796","https://openalex.org/W4379620499","https://openalex.org/W4384656781","https://openalex.org/W4384659101","https://openalex.org/W4386729281","https://openalex.org/W4396726959"],"related_works":[],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,152,167],"aims":[2],"to":[3,161,177],"predict":[4],"the":[5,9,57,93,118,125,137,157,163,166,179,183],"next":[6],"item":[7,38],"in":[8,92,117],"absence":[10],"of":[11,59,63,95,115],"user":[12,52,64,89,101],"profiles":[13],"and":[14,24,97,181],"extensive":[15],"interactions.":[16],"Recent":[17],"recommender":[18],"techniques,":[19],"such":[20],"as":[21,42,81,87,132],"attention":[22,143],"mechanisms":[23],"graph":[25],"neural":[26],"networks,":[27],"have":[28],"shown":[29],"promising":[30],"results.":[31],"However,":[32],"most":[33],"existing":[34],"methods":[35],"treat":[36,124],"each":[37,130],"within":[39,69],"a":[40,70,133,150],"session":[41,82,139],"an":[43,142],"independent":[44],"intent":[45,65,90,102,127],"unit,":[46],"thus":[47],"focusing":[48],"solely":[49],"on":[50,146,188],"single-level":[51],"interests.":[53],"This":[54],"strategy":[55],"overlooks":[56],"presence":[58],"multiple":[60],"granularity":[61],"levels":[62],"that":[66,193],"may":[67],"exist":[68],"session.":[71],"To":[72],"address":[73],"this,":[74,147],"we":[75,148,155],"bundle":[76],"locally":[77],"consecutive":[78],"items":[79],"together":[80],"snippets,":[83],"which":[84],"are":[85,104,174],"modeled":[86],"high-level":[88],"units":[91,103],"form":[94],"set-based":[96],"sequence-based":[98],"representations.":[99],"The":[100],"further":[105],"enriched":[106],"by":[107],"aggregating":[108],"multi-granularity":[109],"neighbor":[110],"information":[111],"through":[112],"two":[113],"types":[114],"representations":[116],"Heterogeneous":[119],"Session":[120],"Graph.":[121],"We":[122],"then":[123,175],"last":[126],"unit":[128],"from":[129],"guanularity":[131],"query":[134],"vector,":[135],"learning":[136],"corresponding":[138],"representation":[140],"using":[141],"mechanism.":[144],"Based":[145],"calculate":[149],"separate":[151],"result.":[153],"Next,":[154],"fine-tune":[156],"pre-trained":[158],"meta-weight":[159],"network":[160],"customize":[162],"weights":[164,173],"for":[165],"results":[168,180],"at":[169],"different":[170],"granularities.":[171],"These":[172],"used":[176],"fuse":[178],"generate":[182],"final":[184],"recommendation.":[185],"Extensive":[186],"experiments":[187],"three":[189],"real-world":[190],"datasets":[191],"demonstrate":[192],"our":[194],"approach":[195],"outperforms":[196],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}