{"id":"https://openalex.org/W4401496859","doi":"https://doi.org/10.1142/s0218126625500343","title":"Session-based Recommendation Framework via Counterfactual Inference and Attention Network","display_name":"Session-based Recommendation Framework via Counterfactual Inference and Attention Network","publication_year":2024,"publication_date":"2024-08-11","ids":{"openalex":"https://openalex.org/W4401496859","doi":"https://doi.org/10.1142/s0218126625500343"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625500343","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625500343","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"},"type":"article","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/A5107771646","display_name":"Zhenhao Wang","orcid":"https://orcid.org/0009-0003-4886-3198"},"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":true,"raw_author_name":"Zhenhao Wang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-4886-3198","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101566619","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5476-620X"},"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":"Bo Huang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5476-620X","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107771646"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.6294,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73640414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"34","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.6256999969482422,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.6256999969482422,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.6190999746322632,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.59579998254776,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7525815963745117},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.7223742008209229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6081537008285522},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6018778681755066},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.39450597763061523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3367183804512024},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3045605421066284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1569347381591797},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13478350639343262},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11641916632652283}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7525815963745117},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.7223742008209229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6081537008285522},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6018778681755066},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.39450597763061523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3367183804512024},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3045605421066284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1569347381591797},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13478350639343262},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11641916632652283}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625500343","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625500343","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2049910836","https://openalex.org/W2144807535","https://openalex.org/W2150291618","https://openalex.org/W2486285194","https://openalex.org/W2625746539","https://openalex.org/W2774321216","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2953586472","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2982108874","https://openalex.org/W2982267219","https://openalex.org/W2986515219","https://openalex.org/W3004726539","https://openalex.org/W3021402147","https://openalex.org/W3035512383","https://openalex.org/W3089238887","https://openalex.org/W3093891819","https://openalex.org/W3097679710","https://openalex.org/W3098231197","https://openalex.org/W3100085543","https://openalex.org/W3101707147","https://openalex.org/W3106433415","https://openalex.org/W3118968349","https://openalex.org/W3152876231","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3168798228","https://openalex.org/W3170713142","https://openalex.org/W3172253407","https://openalex.org/W3205476866","https://openalex.org/W3209458448","https://openalex.org/W3210807131","https://openalex.org/W3216615918","https://openalex.org/W4220848927","https://openalex.org/W4224313077","https://openalex.org/W4225356279","https://openalex.org/W4226247808","https://openalex.org/W4292092796","https://openalex.org/W4293731782","https://openalex.org/W4318831962","https://openalex.org/W4385270068","https://openalex.org/W4386002794","https://openalex.org/W4399342916"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3028847759","https://openalex.org/W2393688264","https://openalex.org/W3170174360"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,31,49,69,86],"systems":[2],"(SRS)":[3],"can":[4],"predict":[5],"the":[6,36,48,100,112],"next":[7],"action":[8],"of":[9],"anonymous":[10],"users":[11],"based":[12],"on":[13,97,119],"their":[14],"historical":[15],"behavior":[16],"sequence,":[17],"while":[18,94],"some":[19],"features":[20],"directly":[21],"influence":[22],"whether":[23],"an":[24],"interaction":[25],"occurs,":[26],"which":[27,46],"leads":[28],"to":[29,51,59,106],"inaccurate":[30],"results":[32],"that":[33,124],"can\u2019t":[34],"reflect":[35],"user\u2019s":[37],"real":[38],"preferences.":[39],"This":[40,78],"causes":[41,47],"confounding":[42,113,132],"effects":[43],"in":[44],"SRS,":[45],"system":[50],"misunderstand":[52],"user":[53],"preferences":[54],"and":[55,74,88],"recommend":[56],"unsatisfied":[57],"items":[58,98],"users.":[60],"To":[61],"address":[62],"this":[63],"problem,":[64],"we":[65,122],"propose":[66],"a":[67],"session-based":[68],"framework":[70,79],"via":[71],"counterfactual":[72,104,108],"inference":[73,105],"attention":[75,82],"networks":[76],"(SRS-CIAN).":[77],"introduces":[80],"external":[81],"mechanisms":[83],"into":[84],"session":[85],"tasks":[87],"combines":[89],"causal":[90],"graphs":[91],"for":[92,110,131],"modeling":[93],"capturing":[95],"information":[96],"within":[99],"session.":[101],"We":[102],"use":[103],"refactor":[107],"scenarios":[109],"handling":[111],"effects.":[114,133],"Through":[115],"extensive":[116],"empirical":[117],"experiments":[118],"real-world":[120],"datasets,":[121],"demonstrate":[123],"our":[125],"approach":[126],"surpasses":[127],"several":[128],"strong":[129],"baselines":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
