{"id":"https://openalex.org/W2965919199","doi":"https://doi.org/10.24963/ijcai.2019/799","title":"ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation","display_name":"ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965919199","doi":"https://doi.org/10.24963/ijcai.2019/799","mag":"2965919199"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/799","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/799","pdf_url":"https://www.ijcai.org/proceedings/2019/0799.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0799.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024834834","display_name":"Jing Song","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Song","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070128994","display_name":"Hong Shen","orcid":"https://orcid.org/0000-0002-3663-6591"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Hong Shen","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, Australia","School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021091982","display_name":"Zijing Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijing Ou","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010262713","display_name":"Junyi Zhang","orcid":"https://orcid.org/0000-0002-2392-1967"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Zhang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103046190","display_name":"Teng Xiao","orcid":"https://orcid.org/0000-0001-9180-1433"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Xiao","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024834834"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":7.7345,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.9735342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5765","last_page":"5771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9951000213623047,"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":0.973800003528595,"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":0.8358316421508789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.815057635307312},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.746098518371582},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6140584349632263},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.5266309380531311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49525609612464905},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47986000776290894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45604565739631653},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44484925270080566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3990825414657593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07329511642456055},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07272017002105713}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8358316421508789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815057635307312},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.746098518371582},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6140584349632263},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.5266309380531311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49525609612464905},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47986000776290894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45604565739631653},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44484925270080566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3990825414657593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07329511642456055},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07272017002105713},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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:10.24963/ijcai.2019/799","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/799","pdf_url":"https://www.ijcai.org/proceedings/2019/0799.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/134788","is_oa":false,"landing_page_url":"https://hdl.handle.net/2440/134788","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.ijcai.org/proceedings/2019/","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/799","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/799","pdf_url":"https://www.ijcai.org/proceedings/2019/0799.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965919199.pdf","grobid_xml":"https://content.openalex.org/works/W2965919199.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W1987961977","https://openalex.org/W2016986376","https://openalex.org/W2040367556","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2108920354","https://openalex.org/W2135790056","https://openalex.org/W2138108551","https://openalex.org/W2157973827","https://openalex.org/W2159094788","https://openalex.org/W2249895886","https://openalex.org/W2469952266","https://openalex.org/W2739805805","https://openalex.org/W2964044287","https://openalex.org/W4295536352","https://openalex.org/W4299286960"],"related_works":["https://openalex.org/W2033524022","https://openalex.org/W2111020819","https://openalex.org/W2377594161","https://openalex.org/W2296297476","https://openalex.org/W2329943782","https://openalex.org/W2365514879","https://openalex.org/W1578340400","https://openalex.org/W84513934","https://openalex.org/W15987807","https://openalex.org/W2018025176"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"is":[2],"a":[3,55],"challenging":[4],"problem":[5],"due":[6],"to":[7],"the":[8,15,23,27,36,41,69,77],"inherent":[9],"uncertainty":[10],"of":[11,98],"user":[12],"behavior":[13],"and":[14,22,60,83,86],"limited":[16],"historical":[17],"click":[18],"information.":[19],"Latent":[20,61],"factors":[21,88],"complex":[24],"dependencies":[25],"within":[26],"user\u2019s":[28,78],"current":[29],"session":[30],"have":[31],"an":[32,95],"important":[33],"impact":[34],"on":[35,107,118],"user's":[37,70],"main":[38,71],"intention,":[39],"but":[40],"existing":[42],"methods":[43],"do":[44],"not":[45],"explicitly":[46],"consider":[47],"this":[48,51,99],"point.":[49],"In":[50,90],"paper,":[52],"we":[53,92],"propose":[54],"novel":[56],"model,":[57],"Interest":[58],"Shift":[59],"Factors":[62],"Combination":[63],"Model":[64],"(ISLF),":[65],"which":[66],"can":[67],"capture":[68],"intention":[72],"by":[73],"taking":[74],"into":[75],"account":[76],"interest":[79],"shift":[80],"(i.e.":[81],"long-term":[82],"short-term":[84],"interest)":[85],"latent":[87],"simultaneously.":[89],"addition,":[91],"experimentally":[93],"give":[94],"explicit":[96],"explanation":[97],"combination":[100],"in":[101],"our":[102,113],"ISLF.":[103],"Our":[104],"experimental":[105],"results":[106],"three":[108],"benchmark":[109],"datasets":[110],"show":[111],"that":[112],"model":[114],"achieves":[115],"state-of-the-art":[116],"performance":[117],"all":[119],"test":[120],"datasets.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}