{"id":"https://openalex.org/W4385489413","doi":"https://doi.org/10.1145/3594315.3594651","title":"Session-Based Recommendation with Multi-layer Parallel Graph Neural Network","display_name":"Session-Based Recommendation with Multi-layer Parallel Graph Neural Network","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4385489413","doi":"https://doi.org/10.1145/3594315.3594651"},"language":"en","primary_location":{"id":"doi:10.1145/3594315.3594651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","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/A5101601034","display_name":"Huang Jian-hui","orcid":"https://orcid.org/0009-0006-1600-8287"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhui Huang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003774412","display_name":"Shaozhang Niu","orcid":"https://orcid.org/0000-0002-9639-5910"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhang Niu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100637838","display_name":"Wen Zhang","orcid":"https://orcid.org/0009-0004-2880-5254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Southeast Digital Economy Development Institute, China"],"affiliations":[{"raw_affiliation_string":"Southeast Digital Economy Development Institute, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101601034"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67393105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"257"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9943000078201294,"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/T11478","display_name":"Caching and Content Delivery","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8556416034698486},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7691794633865356},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6751018762588501},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5932859778404236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5700917840003967},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4128105342388153},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4113357663154602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36009228229522705},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3156239092350006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3004440665245056},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11382552981376648},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08907365798950195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556416034698486},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7691794633865356},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6751018762588501},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5932859778404236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5700917840003967},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4128105342388153},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4113357663154602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36009228229522705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3156239092350006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3004440665245056},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11382552981376648},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08907365798950195},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594315.3594651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2042281163","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2171279286","https://openalex.org/W2171960770","https://openalex.org/W2244807774","https://openalex.org/W2262817822","https://openalex.org/W2510184840","https://openalex.org/W2512965516","https://openalex.org/W2524638710","https://openalex.org/W2734755249","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2900841426","https://openalex.org/W2962745591","https://openalex.org/W2964044287","https://openalex.org/W2995056525","https://openalex.org/W3010518916","https://openalex.org/W3021402147","https://openalex.org/W3042856524","https://openalex.org/W3089163080","https://openalex.org/W3093800735","https://openalex.org/W3101707147","https://openalex.org/W3136905231","https://openalex.org/W3169833152","https://openalex.org/W3192122036","https://openalex.org/W4243417494","https://openalex.org/W4287101413"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W4390273403","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W4386781444"],"abstract_inverted_index":{"For":[0],"the":[1,15,21,70,74,77,81,91,96,100,115],"task":[2],"of":[3,17,23,43,80,90,102],"anonymous":[4,51,122],"session-based(SR)":[5],"product":[6,18],"recommendation":[7,124],"in":[8,11,50,69,126],"e-commerce":[9,127],"scenarios,":[10],"order":[12],"to":[13,88],"improve":[14],"accuracy":[16,101],"prediction":[19],"and":[20,47,60,76,99,119],"effectiveness":[22],"recommended":[24],"rankings.":[25],"This":[26,38],"paper":[27],"proposes":[28],"a":[29],"scalable":[30,120],"multi-layer":[31,82],"parallel":[32,41,64],"graph":[33,65,83,93],"neural":[34,66,84,94],"network":[35,85],"based":[36],"architecture(SR-PGNN).":[37],"structure":[39],"enables":[40],"composition":[42],"as":[44,53],"many":[45],"explicit":[46],"fully-crossed":[48],"features":[49],"sessions":[52],"possible.":[54],"Besides,":[55],"it":[56],"adopts":[57],"parameter":[58],"sharing":[59],"cross-fusion":[61],"mechanism":[62],"between":[63],"networks.":[67],"Finally,":[68],"case":[71],"when":[72],"both":[73],"parameters":[75],"memory":[78],"usage":[79],"are":[86,104],"similar":[87],"those":[89],"single-layer":[92],"network,":[95],"Precision":[97],"rate":[98],"MRR":[103],"improved.":[105],"Experimental":[106],"results":[107],"on":[108],"two":[109],"classic":[110],"public":[111],"datasets":[112],"show":[113],"that":[114],"model":[116],"is":[117],"effective":[118],"for":[121],"session-based":[123],"tasks":[125],"scenarios.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
