{"id":"https://openalex.org/W4408352445","doi":"https://doi.org/10.1109/icassp49660.2025.10887641","title":"Multi-Head Auto-Correlation Attention Networks for Session-based Social Recommendation","display_name":"Multi-Head Auto-Correlation Attention Networks for Session-based Social Recommendation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352445","doi":"https://doi.org/10.1109/icassp49660.2025.10887641"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5040322324","display_name":"Mengying Lu","orcid":"https://orcid.org/0009-0003-0748-0318"},"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":"Mengying Lu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030485564","display_name":"Xingyu Lu","orcid":"https://orcid.org/0000-0002-8393-0582"},"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":"Xingyu Lu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022672030","display_name":"Hai-Tao Zheng","orcid":"https://orcid.org/0000-0001-5128-5649"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Hai-Tao Zheng","raw_affiliation_strings":["Tsinghua University, Pengcheng Laboratory,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Pengcheng Laboratory,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669234","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-1814-9466"},"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":"Zhao Wei","raw_affiliation_strings":["Tencent,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014876751","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0002-4844-2460"},"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":"Yong Xu","raw_affiliation_strings":["Tencent,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036902548","display_name":"Bing An","orcid":"https://orcid.org/0000-0002-1085-0602"},"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":"Bingxu An","raw_affiliation_strings":["Tencent,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955999851226807,"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":0.9955999851226807,"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":0.96670001745224,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9577000141143799,"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":0.8105180263519287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284207344055176},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5807723999023438},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5611464381217957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3342014253139496},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15723121166229248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06997975707054138}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8105180263519287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284207344055176},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5807723999023438},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5611464381217957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3342014253139496},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15723121166229248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06997975707054138},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320317992","display_name":"Experiment","ror":null},{"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":32,"referenced_works":["https://openalex.org/W1991055526","https://openalex.org/W1995771729","https://openalex.org/W2061171222","https://openalex.org/W2102182691","https://openalex.org/W2144487656","https://openalex.org/W2152202842","https://openalex.org/W2154136024","https://openalex.org/W2604175478","https://openalex.org/W2625746539","https://openalex.org/W2767980859","https://openalex.org/W2783272285","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2908404712","https://openalex.org/W2956154252","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W3033630125","https://openalex.org/W3065542300","https://openalex.org/W3081930906","https://openalex.org/W3114680657","https://openalex.org/W3178328486","https://openalex.org/W3193978390","https://openalex.org/W4224316819","https://openalex.org/W4224940316","https://openalex.org/W4289533827","https://openalex.org/W4292369130","https://openalex.org/W4372266953","https://openalex.org/W4385573368","https://openalex.org/W6674330103","https://openalex.org/W6780226713","https://openalex.org/W6800395734"],"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/W3012257603"],"abstract_inverted_index":{"Session-based":[0],"Social":[1],"Recommendation":[2],"(SSR)":[3],"aims":[4],"to":[5,30,45,67,79],"improve":[6],"next-item":[7],"prediction":[8],"by":[9],"combining":[10],"a":[11,55,62],"user\u2019s":[12],"session":[13,95],"activities":[14],"with":[15,85],"insights":[16],"from":[17,64],"their":[18],"social":[19],"networks.":[20],"However,":[21],"the":[22],"brevity":[23],"of":[24],"sessions":[25],"makes":[26],"SSR":[27,57,112],"models":[28,113],"prone":[29],"noise,":[31],"and":[32,82,117],"many":[33],"methods":[34],"rely":[35],"on":[36,101],"complex":[37],"Deep":[38],"Neural":[39],"Networks":[40],"(DNNs),":[41],"which":[42],"often":[43],"lead":[44],"long":[46],"training":[47],"times.":[48],"To":[49],"address":[50],"these":[51],"challenges,":[52],"we":[53],"introduce":[54],"novel":[56],"approach":[58],"that":[59,106],"leverages":[60],"autocorrelation,":[61],"concept":[63],"stochastic":[65],"processes,":[66],"model":[68],"sequential":[69],"dependencies":[70],"more":[71,97],"effectively.":[72],"By":[73],"applying":[74],"Fast":[75],"Fourier":[76],"Transforms":[77],"(FFT)":[78],"compute":[80],"autocorrelation":[81],"integrating":[83],"this":[84],"multi-head":[86],"attention":[87],"mechanisms,":[88],"our":[89,107],"method":[90,108],"captures":[91],"temporal":[92],"patterns":[93],"within":[94],"data":[96],"accurately.":[98],"Extensive":[99],"experiments":[100],"two":[102],"public":[103],"datasets":[104],"demonstrate":[105],"outperforms":[109],"existing":[110],"state-of-the-art":[111],"in":[114],"both":[115],"accuracy":[116],"efficiency.":[118],"Our":[119],"code":[120],"is":[121],"available":[122],"at":[123],"https://github.com/LUUUUUUZ/MACNet.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
