{"id":"https://openalex.org/W3014093178","doi":"https://doi.org/10.1109/access.2020.2984287","title":"A Joint Neural Network for Session-Aware Recommendation","display_name":"A Joint Neural Network for Session-Aware Recommendation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3014093178","doi":"https://doi.org/10.1109/access.2020.2984287","mag":"3014093178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2984287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984287","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050712.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/ielx7/6287639/8948470/09050712.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088713288","display_name":"Yupu Guo","orcid":"https://orcid.org/0000-0002-8582-859X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupu Guo","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8582-859X","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048696207","display_name":"Duolong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duolong Zhang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042809970","display_name":"Yanxiang Ling","orcid":"https://orcid.org/0000-0002-8725-8316"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiang Ling","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026327666","display_name":"Honghui Chen","orcid":"https://orcid.org/0009-0003-5234-0592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Chen","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5374,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9379292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"74205","last_page":"74215"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9843000173568726,"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":0.8779468536376953},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8757537007331848},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.747210681438446},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5455857515335083},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.5155308246612549},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5029720664024353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4959629476070404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47477221488952637},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46936896443367004},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4623734951019287},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.45608776807785034},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4413694143295288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4382723569869995},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41864562034606934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3341969847679138},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08887556195259094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8779468536376953},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8757537007331848},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.747210681438446},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5455857515335083},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.5155308246612549},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5029720664024353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4959629476070404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47477221488952637},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46936896443367004},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4623734951019287},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.45608776807785034},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4413694143295288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4382723569869995},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41864562034606934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3341969847679138},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08887556195259094},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2984287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984287","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050712.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:897e2f5ef252486aa1aa14f3812585d0","is_oa":true,"landing_page_url":"https://doaj.org/article/897e2f5ef252486aa1aa14f3812585d0","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 8, Pp 74205-74215 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2984287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984287","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050712.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":[{"id":"https://openalex.org/G6327288195","display_name":null,"funder_award_id":"61702526","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014093178.pdf","grobid_xml":"https://content.openalex.org/works/W3014093178.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1598796236","https://openalex.org/W1673941785","https://openalex.org/W1921081011","https://openalex.org/W1978609982","https://openalex.org/W1994389483","https://openalex.org/W2024504947","https://openalex.org/W2040367556","https://openalex.org/W2047109571","https://openalex.org/W2057763140","https://openalex.org/W2064675550","https://openalex.org/W2073601450","https://openalex.org/W2137245235","https://openalex.org/W2144186552","https://openalex.org/W2233657940","https://openalex.org/W2293191882","https://openalex.org/W2293558957","https://openalex.org/W2398055577","https://openalex.org/W2410226802","https://openalex.org/W2512965516","https://openalex.org/W2513020047","https://openalex.org/W2571943543","https://openalex.org/W2575006718","https://openalex.org/W2577986441","https://openalex.org/W2587019100","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2745534091","https://openalex.org/W2775026637","https://openalex.org/W2781636776","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2788663865","https://openalex.org/W2795199972","https://openalex.org/W2896306077","https://openalex.org/W2899457523","https://openalex.org/W2912868486","https://openalex.org/W2964044287","https://openalex.org/W2964352502","https://openalex.org/W2967481075","https://openalex.org/W2984760942","https://openalex.org/W3098231197","https://openalex.org/W3100230417","https://openalex.org/W3101036089","https://openalex.org/W3101063193","https://openalex.org/W3101707147","https://openalex.org/W3101830194","https://openalex.org/W3102201080","https://openalex.org/W3102619277","https://openalex.org/W4205355130","https://openalex.org/W4297781038","https://openalex.org/W4299286960","https://openalex.org/W6635679246","https://openalex.org/W6637259173","https://openalex.org/W6680839329","https://openalex.org/W6692935382","https://openalex.org/W6696936127","https://openalex.org/W6712240000","https://openalex.org/W6732034144","https://openalex.org/W6732193342","https://openalex.org/W6733081445","https://openalex.org/W6753780024","https://openalex.org/W6758109254","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2899331914","https://openalex.org/W4401513252","https://openalex.org/W4322731696","https://openalex.org/W2025252807","https://openalex.org/W4297883370","https://openalex.org/W2980701895","https://openalex.org/W2972495023","https://openalex.org/W3118323771","https://openalex.org/W2096699795","https://openalex.org/W2111227719"],"abstract_inverted_index":{"Session-aware":[0],"recommendation":[1,30,118],"is":[2,123,182],"a":[3,49,58,68,73,90,109,117,126],"special":[4],"form":[5],"of":[6,43,103,112,153,167,174],"sequential":[7,29,84],"recommendation,":[8,65],"where":[9],"users'":[10],"previous":[11],"interactions":[12,80,85,169],"before":[13],"current":[14,45,114,189],"session":[15,46,131,190],"are":[16,25],"available.":[17],"Recently,":[18],"Recurrent":[19],"Neural":[20,70],"Network":[21],"(RNN)":[22],"based":[23],"models":[24],"widely":[26],"used":[27],"in":[28,151,185],"tasks":[31],"with":[32,187],"great":[33],"success.":[34],"Previous":[35],"works":[36],"mainly":[37],"focus":[38],"on":[39,137,148],"the":[40,44,77,82,96,113,130,145,172],"interaction":[41],"sequences":[42],"without":[47],"analyzing":[48],"user's":[50],"long-term":[51,78],"preferences.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,88],"propose":[57],"joint":[59],"neural":[60,92],"network":[61,93],"(JNN)":[62],"for":[63,120],"session-aware":[64],"which":[66,105],"employs":[67],"Convolutional":[69],"Network(CNN)":[71],"and":[72,81,155],"RNN":[74],"to":[75,94,107],"process":[76],"historical":[79,168,193],"short-term":[83],"respectively.":[86],"Then,":[87],"apply":[89],"fully-connected":[91],"study":[95],"complex":[97],"relationship":[98],"between":[99],"these":[100],"two":[101],"types":[102],"features,":[104],"aims":[106],"generate":[108],"unified":[110],"representation":[111],"session.":[115],"Finally,":[116],"score":[119],"given":[121],"items":[122],"generated":[124],"by":[125],"bi-linear":[127],"scheme":[128],"upon":[129],"representation.":[132],"We":[133],"conduct":[134],"our":[135],"experiments":[136],"three":[138],"public":[139],"datasets,":[140],"showing":[141],"that":[142,164,180],"JNN":[143,181],"outperforms":[144],"state-of-the-art":[146],"baselines":[147],"all":[149],"datasets":[150],"terms":[152],"Recall":[154],"Mean":[156],"Reciprocal":[157],"Rank":[158],"(MRR).":[159],"The":[160,176],"outperforming":[161],"results":[162,178],"indicate":[163],"proper":[165],"handling":[166],"can":[170],"improve":[171],"effectiveness":[173],"recommendation.":[175],"experimental":[177],"show":[179],"more":[183],"prominent":[184],"samples":[186],"short":[188],"or":[191],"long":[192],"interactions.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}