{"id":"https://openalex.org/W4372266953","doi":"https://doi.org/10.1109/icassp49357.2023.10095952","title":"High-Level Feature Fusion Network for Session-Based Social Recommendation","display_name":"High-Level Feature Fusion Network for Session-Based Social Recommendation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266953","doi":"https://doi.org/10.1109/icassp49357.2023.10095952"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5050223298","display_name":"Liuyin Wang","orcid":null},"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":"Liuyin Wang","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China","Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045127642","display_name":"Mingchao Li","orcid":"https://orcid.org/0000-0002-3010-0892"},"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":"Mingchao Li","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China","Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","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/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"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":["Pengcheng Laboratory,Shenzhen,China","Pengcheng Laboratory, Shenzhen, China","Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1568,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89483468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11478","display_name":"Caching and Content Delivery","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9836999773979187,"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":0.8251636028289795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7631309032440186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6168503761291504},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42462658882141113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4136381447315216},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22250503301620483}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8251636028289795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631309032440186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6168503761291504},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42462658882141113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4136381447315216},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22250503301620483},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W1991055526","https://openalex.org/W2068412532","https://openalex.org/W2144487656","https://openalex.org/W2604175478","https://openalex.org/W2605350416","https://openalex.org/W2767980859","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2908404712","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2951431594","https://openalex.org/W2964044287","https://openalex.org/W3101707147","https://openalex.org/W3114680657","https://openalex.org/W3147607661","https://openalex.org/W3153935502","https://openalex.org/W3177063776"],"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/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764"],"abstract_inverted_index":{"The":[0],"session-based":[1],"social":[2,10,44,65],"recommendation":[3],"task":[4],"aims":[5],"to":[6,12,26,29,54,59,74,87,102,107,119],"leverage":[7,61],"knowledge":[8,63],"from":[9,64],"networks":[11],"predict":[13],"user":[14,96],"actions":[15],"based":[16],"on":[17,124],"their":[18],"sessions.":[19],"Most":[20],"previous":[21],"studies":[22],"pay":[23],"more":[24],"attention":[25,83],"complex":[27],"transitions":[28],"get":[30],"item":[31],"embedding":[32],"in":[33,43],"various":[34],"ways":[35],"and":[36,97,111,114],"neglect":[37],"the":[38,62,76,89,112,130],"importance":[39],"of":[40],"users\u2019":[41],"role":[42],"network.":[45],"Therefore,":[46],"we":[47,67],"design":[48],"a":[49,69,80],"High-level":[50],"Feature":[51],"Fusion":[52],"Network":[53],"address":[55],"these":[56],"issues.":[57],"Firstly,":[58],"better":[60],"networks,":[66],"use":[68],"heterogeneous":[70],"graph":[71,82],"neural":[72],"network":[73,84],"enhance":[75],"user/item":[77],"representation.":[78],"Secondly,":[79],"user-based":[81],"is":[85],"adapted":[86],"learn":[88],"user\u2019s":[90],"deep":[91],"interest":[92],"evolution":[93],"process.":[94],"Next,":[95],"session":[98],"features":[99,116],"are":[100,117],"transferred":[101],"our":[103],"feature":[104],"fusion":[105,109,115],"module":[106],"generate":[108],"features,":[110],"original":[113],"combined":[118],"make":[120],"recommendations.":[121],"Extensive":[122],"experiments":[123],"three":[125],"public":[126],"datasets":[127],"show":[128],"that":[129],"proposed":[131],"model":[132],"outperforms":[133],"existing":[134],"state-of-the-art":[135],"models.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
