{"id":"https://openalex.org/W4399295462","doi":"https://doi.org/10.1007/s10618-024-01023-0","title":"Intention enhanced mixed attentive model for session-based recommendation","display_name":"Intention enhanced mixed attentive model for session-based recommendation","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4399295462","doi":"https://doi.org/10.1007/s10618-024-01023-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-024-01023-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01023-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01023-0.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01023-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101652191","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-5995-1420"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Parthasarathy","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA","Translational Data Analytics Institute, The Ohio State University, Columbus, OH, 43210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Translational Data Analytics Institute, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028997621","display_name":"Xia Ning","orcid":"https://orcid.org/0000-0002-6842-1165"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Ning","raw_affiliation_strings":["Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA","Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA","Translational Data Analytics Institute, The Ohio State University, Columbus, OH, 43210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Translational Data Analytics Institute, The Ohio State University, Columbus, OH, 43210, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101652191"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":4.5806,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94868558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"38","issue":"4","first_page":"2032","last_page":"2061"},"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":0.9957000017166138,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7733773589134216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563283205032349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37803274393081665},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.324770987033844},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32237473130226135},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19675368070602417}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7733773589134216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563283205032349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37803274393081665},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.324770987033844},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32237473130226135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19675368070602417}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10618-024-01023-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01023-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01023-0.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10618-024-01023-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01023-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01023-0.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1136109786","display_name":null,"funder_award_id":"SES-1949037","funder_id":"https://openalex.org/F4320337366","funder_display_name":"Division of Social and Economic Sciences"},{"id":"https://openalex.org/G287930382","display_name":null,"funder_award_id":"R21LM013678-01","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G4840051648","display_name":null,"funder_award_id":"IIS-2133650","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G5433473004","display_name":null,"funder_award_id":"2133650","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5760881210","display_name":null,"funder_award_id":"1R01LM012605-01A1","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G7427039554","display_name":null,"funder_award_id":"IIS-2133650","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8006824734","display_name":null,"funder_award_id":"EAR-1520870","funder_id":"https://openalex.org/F4320337403","funder_display_name":"Division of Earth Sciences"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8585119406","display_name":null,"funder_award_id":"1520870","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337366","display_name":"Division of Social and Economic Sciences","ror":"https://ror.org/02dz2hb46"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337403","display_name":"Division of Earth Sciences","ror":"https://ror.org/05v01mk25"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399295462.pdf","grobid_xml":"https://content.openalex.org/works/W4399295462.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W2125247566","https://openalex.org/W2171279286","https://openalex.org/W2626454364","https://openalex.org/W2750004028","https://openalex.org/W2783272285","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2984100107","https://openalex.org/W2986515219","https://openalex.org/W3005600385","https://openalex.org/W3080292067","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3119313768","https://openalex.org/W3152893301","https://openalex.org/W3173365306","https://openalex.org/W3209048663","https://openalex.org/W3210802119","https://openalex.org/W4206366028","https://openalex.org/W4284686273","https://openalex.org/W4284707459","https://openalex.org/W4298874030","https://openalex.org/W4300175872","https://openalex.org/W4310802579","https://openalex.org/W4321485796"],"related_works":["https://openalex.org/W4391375266","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","https://openalex.org/W4292264782"],"abstract_inverted_index":{"Abstract":[0],"Session-based":[1],"recommendation":[2],"aims":[3],"to":[4,30,55,83],"generate":[5,31,88],"recommendations":[6,33],"for":[7],"the":[8,57,61,77,99,129],"next":[9],"item":[10],"of":[11,42,79,138],"users\u2019":[12,43,80],"interest":[13],"based":[14],"on":[15],"a":[16,65,134],"given":[17],"session.":[18],"In":[19,72,113],"this":[20],"manuscript,":[21],"we":[22,74],"develop":[23],"intention":[24],"enhanced":[25],"mixed":[26],"attentive":[27],"model":[28,56],"()":[29],"session-based":[32],"using":[34,64],"two":[35],"important":[36,85],"factors:":[37],"temporal":[38,58,62],"patterns":[39,63],"and":[40,87],"estimates":[41],"intentions.":[44],"Unlike":[45],"existing":[46],"methods":[47,101],"which":[48],"primarily":[49],"leverage":[50,76],"complicated":[51],"gated":[52],"recurrent":[53],"units":[54],"patterns,":[59],"models":[60,96,123],"light-weight":[66],"while":[67],"effective":[68],"position-sensitive":[69],"attention":[70],"mechanism.":[71],",":[73],"also":[75],"estimate":[78],"prospective":[81],"preferences":[82],"signify":[84],"items,":[86],"better":[89],"recommendations.":[90],"Our":[91],"experimental":[92],"results":[93],"demonstrate":[94],"that":[95,120],"significantly":[97],"outperform":[98],"state-of-the-art":[100],"in":[102],"six":[103],"benchmark":[104],"datasets,":[105],"with":[106,133],"an":[107],"improvement":[108],"as":[109,111],"much":[110,125],"19.2%.":[112],"addition,":[114],"our":[115],"run-time":[116],"performance":[117],"comparison":[118],"demonstrates":[119],"during":[121],"testing,":[122],"are":[124],"more":[126],"efficient":[127],"than":[128],"best":[130],"baseline":[131],"method,":[132],"significant":[135],"average":[136],"speedup":[137],"47.7":[139],"folds.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}