{"id":"https://openalex.org/W4382052975","doi":"https://doi.org/10.1109/icccs57501.2023.10151094","title":"Incorporating Multiple Relations into Multi-task Learning for Session-Based Recommendation","display_name":"Incorporating Multiple Relations into Multi-task Learning for Session-Based Recommendation","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4382052975","doi":"https://doi.org/10.1109/icccs57501.2023.10151094"},"language":"en","primary_location":{"id":"doi:10.1109/icccs57501.2023.10151094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs57501.2023.10151094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039676469","display_name":"Yaohai Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohai Zeng","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000683189","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-1108-4006"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370036","display_name":"Jie Gu","orcid":"https://orcid.org/0000-0002-6558-169X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Gu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1218","last_page":"1223"},"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":0.9937000274658203,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9891999959945679,"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":0.9469809532165527},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.8352270126342773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8270119428634644},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7290624380111694},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.627752423286438},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5784088969230652},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.565700352191925},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4602692425251007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43928828835487366},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4271010458469391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4205085039138794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.269307404756546},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.166457861661911}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.9469809532165527},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.8352270126342773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270119428634644},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7290624380111694},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.627752423286438},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5784088969230652},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.565700352191925},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4602692425251007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43928828835487366},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4271010458469391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4205085039138794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.269307404756546},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.166457861661911},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs57501.2023.10151094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs57501.2023.10151094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1258292476","display_name":null,"funder_award_id":"61977013","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":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2809290718","https://openalex.org/W2899457523","https://openalex.org/W2949553967","https://openalex.org/W2964044287","https://openalex.org/W2986515219","https://openalex.org/W2998167534","https://openalex.org/W3017578779","https://openalex.org/W3034329572","https://openalex.org/W3045200674","https://openalex.org/W3097072019","https://openalex.org/W3101707147","https://openalex.org/W3135242839","https://openalex.org/W3156977692","https://openalex.org/W3193924719","https://openalex.org/W4283075123","https://openalex.org/W4299286960","https://openalex.org/W4304890361","https://openalex.org/W4310477894","https://openalex.org/W4311780245","https://openalex.org/W6685115820","https://openalex.org/W6692935382"],"related_works":["https://openalex.org/W4296749040","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W4390273403","https://openalex.org/W3012257603","https://openalex.org/W3177475962","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W4386781444"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,53,97,103,109,141,188],"aims":[2],"to":[3,29,33,64,121,138,161,174],"recommend":[4],"the":[5,10,23,50,58,66,123,145,163,176,185],"next":[6],"item":[7],"based":[8,143],"on":[9,144,169],"information":[11],"of":[12,44,49,125,151],"sessions.":[13],"There":[14],"are":[15,119,136,167],"multiple":[16,83],"relations":[17,32,59,84,127,147,150],"between":[18,60],"items":[19,36,152],"in":[20,153],"sessions,":[21],"e.g.,":[22],"similar":[24,101,126,146],"and":[25,37,68,105,115,128,148],"sequential":[26,107,129,149],"relation.":[27],"How":[28],"learn":[30,65],"these":[31],"effectively":[34],"represent":[35],"sessions":[38,154],"is":[39],"a":[40,77,95,100,106],"major":[41],"technical":[42],"challenge":[43],"session-based":[45,52,89,96,187],"recommendation.":[46,90],"However,":[47],"most":[48],"existing":[51],"models":[54],"do":[55],"not":[56],"distinguish":[57],"items,":[61],"thus":[62],"difficult":[63],"difference":[67],"relevance":[69],"among":[70],"relations.":[71],"In":[72,91],"this":[73],"paper,":[74],"we":[75,93],"propose":[76],"model":[78],"named":[79],"MML-SR,":[80],"which":[81],"incorporates":[82],"into":[85,99],"multi-task":[86],"learning":[87],"for":[88],"particular,":[92],"divide":[94],"task":[98,104,134],"relation":[102,108],"task.":[110],"The":[111,179],"expert":[112],"network":[113,117],"layer":[114,118],"gate":[116],"proposed":[120,133,177],"capture":[122],"representation":[124],"relations,":[130],"then":[131],"two":[132,140],"towers":[135],"used":[137],"compute":[139],"results":[142,160,180],"respectively.":[155],"We":[156],"combine":[157],"both":[158],"recommendations":[159],"get":[162],"final":[164],"result.":[165],"Experiments":[166],"conducted":[168],"three":[170],"widely-used":[171],"real-world":[172],"datasets":[173],"evaluate":[175],"MML-SR.":[178],"demonstrate":[181],"that":[182],"MML-SR":[183],"outperforms":[184],"state-of-the-art":[186],"models.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}