{"id":"https://openalex.org/W2955054257","doi":"https://doi.org/10.1109/access.2019.2926074","title":"Neural Session-Aware Recommendation","display_name":"Neural Session-Aware Recommendation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955054257","doi":"https://doi.org/10.1109/access.2019.2926074","mag":"2955054257"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2926074","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926074","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08752213.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/ielx7/6287639/8600701/08752213.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045559280","display_name":"T\u1eeb Minh Ph\u01b0\u01a1ng","orcid":"https://orcid.org/0000-0001-6415-228X"},"institutions":[{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tu Minh Phuong","raw_affiliation_strings":["Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4400600977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032153312","display_name":"Tran Cong Thanh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095603","display_name":"Vietnam Posts and Telecommunications Group (Vietnam)","ror":"https://ror.org/00q0e7f94","country_code":"VN","type":"company","lineage":["https://openalex.org/I4210095603"]},{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Cong Thanh","raw_affiliation_strings":["Posts and Telecommunications Institute of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210095603","https://openalex.org/I4400600977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041540279","display_name":"Ngo Xuan Bach","orcid":null},"institutions":[{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngo Xuan Bach","raw_affiliation_strings":["Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4400600977"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045559280"],"corresponding_institution_ids":["https://openalex.org/I4400600977"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.3336,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96612789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"86884","last_page":"86896"},"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":0.9914000034332275,"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/T10028","display_name":"Topic Modeling","score":0.9853000044822693,"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":0.9349376559257507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8732509613037109},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6572868824005127},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6255634427070618},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6075314879417419},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3515336513519287},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.323283314704895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31632038950920105},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27620503306388855},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24236828088760376}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.9349376559257507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8732509613037109},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6572868824005127},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6255634427070618},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6075314879417419},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3515336513519287},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.323283314704895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31632038950920105},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27620503306388855},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24236828088760376},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2926074","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926074","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08752213.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:ea210081e12d433ebf0ebb323a53b508","is_oa":true,"landing_page_url":"https://doaj.org/article/ea210081e12d433ebf0ebb323a53b508","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 86884-86896 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2926074","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926074","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08752213.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/W2955054257.pdf","grobid_xml":"https://content.openalex.org/works/W2955054257.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W281665770","https://openalex.org/W1546409232","https://openalex.org/W1560147776","https://openalex.org/W1649293523","https://openalex.org/W1652763299","https://openalex.org/W1816061997","https://openalex.org/W1966553486","https://openalex.org/W1987961977","https://openalex.org/W2054141820","https://openalex.org/W2117111450","https://openalex.org/W2137028279","https://openalex.org/W2140310134","https://openalex.org/W2142144955","https://openalex.org/W2146456494","https://openalex.org/W2157331557","https://openalex.org/W2163997062","https://openalex.org/W2171279286","https://openalex.org/W2171619825","https://openalex.org/W2171960770","https://openalex.org/W2296287211","https://openalex.org/W2469952266","https://openalex.org/W2492959872","https://openalex.org/W2500403796","https://openalex.org/W2512965516","https://openalex.org/W2513020047","https://openalex.org/W2539781657","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2745534091","https://openalex.org/W2750004028","https://openalex.org/W2773640334","https://openalex.org/W2783272285","https://openalex.org/W2795199972","https://openalex.org/W2885580742","https://openalex.org/W2886209086","https://openalex.org/W2899635405","https://openalex.org/W2901135511","https://openalex.org/W2902040508","https://openalex.org/W2907935579","https://openalex.org/W2912652586","https://openalex.org/W2913561508","https://openalex.org/W2964044287","https://openalex.org/W2964316331","https://openalex.org/W3098231197","https://openalex.org/W3100407497","https://openalex.org/W3101063193","https://openalex.org/W3101707147","https://openalex.org/W4299286960","https://openalex.org/W4300175872","https://openalex.org/W6632885370","https://openalex.org/W6680830989","https://openalex.org/W6692935382","https://openalex.org/W6728864075","https://openalex.org/W6739382815","https://openalex.org/W6785869379"],"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":{"Recommender":[0],"systems":[1],"help":[2],"users":[3,64],"find":[4],"items":[5,42,69,80],"they":[6],"are":[7,99],"likely":[8],"to":[9,18,24,68,114,130,147],"interact":[10],"within":[11],"the":[12,41,48,52,57,89,108,136,181,212,221,227],"near":[13],"future,":[14],"such":[15],"as":[16,135],"products":[17],"buy":[19],"in":[20,26,47,70,81,93,112],"e-commerce":[21],"or":[22,177],"songs":[23],"play":[25],"music":[27],"websites.":[28],"The":[29,161,203],"Traditional":[30],"recommendation":[31,138,232],"methods":[32],"make":[33],"predictions":[34,219],"based":[35],"on":[36,75,88],"long-term":[37,115,119,150,209],"user":[38,44,120,149,165,182,208],"profiles,":[39],"i.e.,":[40],"a":[43,71,82,85,188],"interacted":[45],"with":[46,152,167,175,211],"past":[49],"while":[50],"ignoring":[51],"time":[53],"and":[54,77,122,169,183,220,230],"order":[55,73],"of":[56,171,180,198,214],"interactions.":[58],"Recent":[59],"findings,":[60],"however,":[61],"suggest":[62],"that":[63,206],"may":[65],"exhibit":[66],"interest":[67,111],"certain":[72],"depending":[74],"situations":[76],"more":[78,131],"recent":[79],"sequence":[83],"have":[84],"larger":[86],"impact":[87],"subsequent":[90],"choices.":[91],"Moreover,":[92],"many":[94],"practical":[95],"applications,":[96],"user-item":[97],"interactions":[98],"organized":[100],"into":[101],"short":[102],"sessions,":[103],"where":[104],"each":[105],"session":[106,153,172,184,215],"reflects":[107],"user's":[109],"short-term":[110,123],"addition":[113],"preferences.":[116],"Leveraging":[117],"both":[118],"profiles":[121,210],"sequential":[124,229],"patterns":[125,154],"from":[126],"sessions":[127],"can":[128],"lead":[129],"accurate":[132],"models":[133],"known":[134],"session-aware":[137,231],"methods.":[139,233],"In":[140],"this":[141],"paper,":[142],"we":[143],"explore":[144],"various":[145],"strategies":[146,162],"integrate":[148],"preferences":[151],"encoded":[155],"by":[156,186],"recurrent":[157],"neural":[158],"networks":[159],"(RNNs).":[160],"include":[163],"integrating":[164,174],"embeddings":[166],"input":[168],"output":[170,213],"RNNs,":[173],"fixed":[176],"adaptive":[178,223],"contributions":[179],"components":[185],"using":[187],"specially":[189],"designed":[190],"gating":[191],"mechanism.":[192],"We":[193],"conducted":[194],"an":[195],"empirical":[196],"evaluation":[197],"three":[199],"publicly":[200],"available":[201],"datasets.":[202],"results":[204],"indicate":[205],"combining":[207],"RNNs":[216],"yields":[217],"improved":[218],"proposed":[222],"integration":[224],"model":[225],"outperforms":[226],"state-of-the-art":[228]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}