{"id":"https://openalex.org/W4293246041","doi":"https://doi.org/10.1109/access.2022.3201244","title":"Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation","display_name":"Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293246041","doi":"https://doi.org/10.1109/access.2022.3201244"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3201244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09866059.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09866059.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101418176","display_name":"Quan Li","orcid":"https://orcid.org/0000-0001-6211-1046"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Li","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-6211-1046","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]},{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100932277","display_name":"XU Xin-hua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Xu","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]},{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040774062","display_name":"Jinjun Liu","orcid":"https://orcid.org/0000-0003-0050-2548"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjun Liu","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]},{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038648623","display_name":"Guangmin Li","orcid":"https://orcid.org/0000-0001-7045-572X"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangmin Li","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]},{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Huangshi, Hubei, China","institution_ids":["https://openalex.org/I4210165606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165606"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6375,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74338975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"89634","last_page":"89644"},"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/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.810016930103302},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7713332176208496},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.627541184425354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5028764605522156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42312490940093994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720666170120239},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10466456413269043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810016930103302},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7713332176208496},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.627541184425354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5028764605522156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42312490940093994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720666170120239},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10466456413269043}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3201244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09866059.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e0539195c4b04f6bb20071f61a847210","is_oa":true,"landing_page_url":"https://doaj.org/article/e0539195c4b04f6bb20071f61a847210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 89634-89644 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3201244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09866059.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293246041.pdf","grobid_xml":"https://content.openalex.org/works/W4293246041.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W2044672016","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2408538552","https://openalex.org/W2469952266","https://openalex.org/W2474909202","https://openalex.org/W2539781657","https://openalex.org/W2604411573","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2745534091","https://openalex.org/W2772907995","https://openalex.org/W2783272285","https://openalex.org/W2808008183","https://openalex.org/W2895054342","https://openalex.org/W2900841426","https://openalex.org/W2902040508","https://openalex.org/W2953586472","https://openalex.org/W2963601856","https://openalex.org/W2963669159","https://openalex.org/W2964044287","https://openalex.org/W2965857254","https://openalex.org/W3034710094","https://openalex.org/W3035313290","https://openalex.org/W3038083583","https://openalex.org/W3045841900","https://openalex.org/W3093261329","https://openalex.org/W3094074516","https://openalex.org/W3098231197","https://openalex.org/W3098791569","https://openalex.org/W3102619277","https://openalex.org/W3103248659","https://openalex.org/W3156807319","https://openalex.org/W4299286960","https://openalex.org/W6626481562","https://openalex.org/W6632885370","https://openalex.org/W6638545294","https://openalex.org/W6692935382","https://openalex.org/W6752190125","https://openalex.org/W6756130257","https://openalex.org/W6785451520","https://openalex.org/W6891815731"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Recent":[0],"study":[1],"shows":[2],"that":[3,155],"recommendation":[4],"system":[5],"not":[6],"only":[7],"relys":[8],"on":[9],"user’s":[10],"static":[11],"preference,":[12],"but":[13],"also":[14,63],"dynamic":[15],"preference.":[16],"Consequently,":[17],"it":[18,51],"leads":[19],"to":[20,54,105],"the":[21,27,115,137,146,156,172],"emergence":[22],"of":[23,29,35,40,48,76,109,133,165],"session-based":[24,95],"recommendation.":[25,96],"With":[26],"development":[28],"recurrent":[30,101,126],"neural":[31,60,83,127],"network,":[32,128],"this":[33],"kind":[34],"method":[36],"can":[37],"capture":[38],"representations":[39],"users’":[41],"sequential":[42,89,131],"behaviors":[43],"from":[44,119],"a":[45,81,112,134],"large":[46],"number":[47],"sessions.":[49],"However":[50],"is":[52,140],"prone":[53],"spurious":[55],"dependency":[56,93,132],"problem.":[57],"Recently,":[58],"convolutional":[59],"network":[61,104],"has":[62,176],"shown":[64],"its":[65],"potential":[66],"in":[67,71,111],"modelling":[68],"session,":[69],"especially":[70],"extracting":[72],"complex":[73],"local":[74],"pattern":[75,91,108],"subsequence.":[77],"Therefore,":[78],"we":[79,99],"propose":[80,100],"hybrid":[82],"model,":[84],"called":[85],"SGPD,":[86,98],"for":[87,94],"learning":[88],"general":[90,107],"and":[92,121,129,145,161],"In":[97],"residual":[102],"convolution":[103],"extract":[106],"subsequence":[110],"session.":[113,135],"Furthermore,":[114],"SGPD":[116,166],"scans":[117],"sequence":[118],"forward":[120],"reverse":[122],"direction":[123],"by":[124,142],"bidirectional":[125],"learns":[130],"Finally,":[136],"objective":[138],"function":[139],"constructed":[141],"cross":[143],"entropy":[144],"model":[147],"parameters":[148],"are":[149,167],"learned.":[150],"The":[151],"experimental":[152],"results":[153],"show":[154],"precision":[157],"rate,":[158],"recall":[159],"rate":[160],"mean":[162],"reciprocal":[163],"ranking":[164],"greatly":[168],"improved":[169],"compared":[170],"with":[171],"state-of-art":[173],"methods.":[174],"It":[175],"good":[177],"application":[178],"prospect.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}