{"id":"https://openalex.org/W4323662805","doi":"https://doi.org/10.1145/3587099","title":"SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions","display_name":"SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions","publication_year":2023,"publication_date":"2023-03-09","ids":{"openalex":"https://openalex.org/W4323662805","doi":"https://doi.org/10.1145/3587099"},"language":"en","primary_location":{"id":"doi:10.1145/3587099","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3587099","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3587099","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3587099","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059810815","display_name":"Bohan Jia","orcid":"https://orcid.org/0000-0001-8023-6117"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohan Jia","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8023-6117","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648774","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0002-0036-9436"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0036-9436","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041333646","display_name":"Shiyou Qian","orcid":"https://orcid.org/0000-0001-7775-1740"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyou Qian","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7775-1740","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023833221","display_name":"Nengjun Zhu","orcid":"https://orcid.org/0000-0002-6146-9887"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengjun Zhu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6146-9887","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373007","display_name":"Xin Dong","orcid":"https://orcid.org/0009-0004-2523-9971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Dong","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0004-2523-9971","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425242","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-7744-7789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7744-7789","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040949467","display_name":"Lei Cheng","orcid":"https://orcid.org/0009-0002-2186-699X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Cheng","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0002-2186-699X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044628261","display_name":"Linjian Mo","orcid":"https://orcid.org/0000-0002-6682-1448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjian Mo","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-6682-1448","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.621,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91230335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"17","issue":"8","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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":0.8973719477653503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463500499725342},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6894669532775879},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5673671364784241},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5593229532241821},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5469425916671753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042120575904846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38643890619277954},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2732163667678833},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13425904512405396}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8973719477653503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463500499725342},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6894669532775879},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5673671364784241},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5593229532241821},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5469425916671753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042120575904846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38643890619277954},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2732163667678833},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13425904512405396},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587099","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3587099","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3587099","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3587099","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3587099","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3587099","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2603325869","display_name":null,"funder_award_id":"21511104700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323662805.pdf","grobid_xml":"https://content.openalex.org/works/W4323662805.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W2011805610","https://openalex.org/W2097089247","https://openalex.org/W2121448470","https://openalex.org/W2168332560","https://openalex.org/W2171279286","https://openalex.org/W2474909202","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2746011824","https://openalex.org/W2777210537","https://openalex.org/W2784194212","https://openalex.org/W2798984840","https://openalex.org/W2809307135","https://openalex.org/W2892880750","https://openalex.org/W2898056092","https://openalex.org/W2899457523","https://openalex.org/W2949340817","https://openalex.org/W2949753465","https://openalex.org/W2951431594","https://openalex.org/W2953586472","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964352502","https://openalex.org/W2964926209","https://openalex.org/W2965209830","https://openalex.org/W2966172650","https://openalex.org/W2986515219","https://openalex.org/W2995056525","https://openalex.org/W2997864604","https://openalex.org/W3021402147","https://openalex.org/W3034329572","https://openalex.org/W3034427927","https://openalex.org/W3038083583","https://openalex.org/W3046123837","https://openalex.org/W3080292067","https://openalex.org/W3098231197","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3106433415","https://openalex.org/W3108694672","https://openalex.org/W3112542089","https://openalex.org/W3119242082","https://openalex.org/W3131854098","https://openalex.org/W3173365306","https://openalex.org/W3185693672","https://openalex.org/W3190939583","https://openalex.org/W3200543380","https://openalex.org/W3202777637","https://openalex.org/W3202906516","https://openalex.org/W4220729518","https://openalex.org/W4223449011","https://openalex.org/W4225124526","https://openalex.org/W4225923930","https://openalex.org/W4226019392","https://openalex.org/W4229646698","https://openalex.org/W4233135949","https://openalex.org/W4283069234","https://openalex.org/W4299286960","https://openalex.org/W4388955869","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/W3012257603","https://openalex.org/W3177475962","https://openalex.org/W4292264782","https://openalex.org/W3016450995","https://openalex.org/W2141646567","https://openalex.org/W4296748749"],"abstract_inverted_index":{"A":[0],"session-based":[1],"recommendation":[2,68,118],"system":[3],"(SRS)":[4],"tries":[5],"to":[6,27,45,66,77,99,104,168,181],"predict":[7],"the":[8,47,50,63,74,79,101,134,144,151,156,170,183,192],"next":[9],"possible":[10],"choice":[11],"of":[12,49,196],"anonymous":[13],"users.":[14],"In":[15,110],"recent":[16],"years,":[17],"graph":[18,41,76,103],"neural":[19],"network":[20],"(GNN)":[21],"models":[22,36,133],"have":[23,30,96],"been":[24,97],"successfully":[25],"applied":[26],"SRSs":[28],"and":[29,142,159,194],"achieved":[31],"great":[32],"success.":[33],"Using":[34],"GNN":[35,180],"in":[37,138],"SRSs,":[38],"each":[39,53,86],"session":[40,75,87,102,158],"is":[42,59,82],"processed":[43],"successively":[44],"obtain":[46,78],"embedding":[48],"node":[51,80,108],"(i.e,":[52],"action":[54],"on":[55,73,122,188],"an":[56],"item),":[57],"which":[58,173],"then":[60],"imported":[61],"into":[62],"prediction":[64],"module":[65],"generate":[67],"results.":[69],"However,":[70],"solely":[71],"depending":[72],"embeddings":[81,178],"not":[83],"sufficient":[84],"because":[85],"only":[88],"involves":[89],"a":[90,115,139,166],"few":[91],"items.":[92],"Therefore,":[93],"neighbor":[94,145,152,161],"sessions":[95,125,137,146,153,162],"used":[98],"extend":[100],"learn":[105,169],"more":[106],"informative":[107],"representations.":[109],"this":[111],"paper,":[112],"we":[113],"introduce":[114],"S":[116],"ession-based":[117],"MO":[119],"del":[120],"based":[121],"N":[123],"eighbor":[124],"with":[126,147,176],"similar":[127,148],"probabilistic":[128,140],"int":[129],"E":[130],"ntions(SMONE).":[131],"SMONE":[132],"intentions":[135],"behind":[136],"way":[141],"retrieves":[143],"intentions.":[149],"After":[150],"are":[154,163,174],"found,":[155],"target":[157],"its":[160],"modeled":[164],"as":[165],"hypyergraph":[167],"contextualized":[171],"embeddings,":[172],"combined":[175],"item":[177,185],"through":[179],"produce":[182],"final":[184],"recommendations.":[186],"Experiments":[187],"real-world":[189],"datasets":[190],"prove":[191],"effectiveness":[193],"superiority":[195],"SMONE.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
