{"id":"https://openalex.org/W4400645708","doi":"https://doi.org/10.1109/tkde.2024.3427719","title":"Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention","display_name":"Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4400645708","doi":"https://doi.org/10.1109/tkde.2024.3427719"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3427719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3427719","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5102208357","display_name":"Zi Liao","orcid":"https://orcid.org/0009-0007-0326-6866"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Liao","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044520965","display_name":"Xiaodong Wu","orcid":"https://orcid.org/0000-0001-9703-0326"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wu","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102754146","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"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":"Shuo Shang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860145","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-2787-8932"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101541045","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-6763-8146"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102208357"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":3.5526,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92780729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"12","first_page":"8814","last_page":"8828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.906499981880188,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.906499981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.755713939666748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32275086641311646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3223293125629425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755713939666748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32275086641311646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3223293125629425}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3427719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3427719","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1314841804","display_name":null,"funder_award_id":"92270119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4223126646","display_name":null,"funder_award_id":"61932004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4460768019","display_name":null,"funder_award_id":"62032001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6686603084","display_name":null,"funder_award_id":"U2001212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7700309615","display_name":null,"funder_award_id":"62072182","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1971421925","https://openalex.org/W1992549066","https://openalex.org/W2067193435","https://openalex.org/W2079639858","https://openalex.org/W2099213975","https://openalex.org/W2131681506","https://openalex.org/W2132917208","https://openalex.org/W2140310134","https://openalex.org/W2143891888","https://openalex.org/W2187089797","https://openalex.org/W2222512263","https://openalex.org/W2259314895","https://openalex.org/W2486285194","https://openalex.org/W2748058847","https://openalex.org/W2771080603","https://openalex.org/W2896537337","https://openalex.org/W2963285578","https://openalex.org/W2963367478","https://openalex.org/W2972358762","https://openalex.org/W3035404611","https://openalex.org/W3044963235","https://openalex.org/W3092103025","https://openalex.org/W3094452565","https://openalex.org/W3097679710","https://openalex.org/W3104589861","https://openalex.org/W3110745074","https://openalex.org/W3115418111","https://openalex.org/W3120557167","https://openalex.org/W3155333579","https://openalex.org/W3155785643","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3170713142","https://openalex.org/W4200633747","https://openalex.org/W4224313077","https://openalex.org/W4283821198","https://openalex.org/W4288079518","https://openalex.org/W4296604436","https://openalex.org/W4299286960","https://openalex.org/W4312551924","https://openalex.org/W4390490824","https://openalex.org/W4392939710","https://openalex.org/W6631190155","https://openalex.org/W6685562342","https://openalex.org/W6692935382","https://openalex.org/W6695055480","https://openalex.org/W6732037704","https://openalex.org/W6745847804","https://openalex.org/W6746416176","https://openalex.org/W6762404982","https://openalex.org/W6765721576","https://openalex.org/W6785792864"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,22,53,169],"is":[2,43,175],"a":[3,63,83,101],"critical":[4],"but":[5],"challenging":[6],"task":[7],"in":[8,17,110,177],"capturing":[9],"users\u2019":[10],"potential":[11],"preferences":[12,138],"due":[13],"to":[14,25,82,104,130,134,146],"inherent":[15],"biases":[16,27,88],"the":[18,49,78,89,141,147],"data.":[19],"Existing":[20],"debiasing":[21,168],"methods":[23],"aim":[24],"eliminate":[26],"from":[28],"historical":[29],"interaction":[30],"data":[31],"collected":[32],"by":[33,75],"recommender":[34],"systems":[35],"and":[36,139,183],"have":[37,66],"shown":[38],"promising":[39],"results.":[40],"However,":[41],"there":[42],"another":[44],"significant":[45],"bias":[46,60,109,145,182],"that":[47,87,161,172],"hinders":[48],"improvement":[50],"of":[51,71],"sequential":[52,111],"models:":[54],"dynamic":[55,84,106,179],"item":[56,107,143,180],"tendency":[57,85,108,144,181,186],"bias.":[58],"This":[59],"arises":[61],"because":[62],"period":[64],"might":[65],"some":[67],"unique":[68],"tendencies":[69,116],"consisting":[70],"items":[72],"interacted":[73],"with":[74,77,185],"users":[76],"same":[79],"intent,":[80],"leading":[81],"distribution":[86],"model":[90,105,174],"training":[91,133],"towards":[92],"these":[93],"tendencies.":[94],"To":[95],"address":[96],"this":[97],"issue,":[98],"we":[99],"propose":[100],"causal":[102,128],"approach":[103],"recommendation.":[112],"We":[113,125],"first":[114],"extract":[115],"on":[117,156],"carefully":[118],"designed":[119],"item-item":[120],"graphs":[121],"through":[122,150],"community":[123],"detection.":[124],"then":[126],"use":[127],"intervention":[129],"conduct":[131],"deconfounded":[132],"capture":[135],"true":[136],"user":[137],"introduce":[140],"beneficial":[142],"inference":[148],"process":[149],"optimal":[151],"transport":[152],"techniques.":[153],"Experimental":[154],"results":[155],"four":[157],"real-world":[158],"datasets":[159],"demonstrate":[160],"our":[162,173],"proposed":[163],"method":[164],"consistently":[165],"outperforms":[166],"state-of-the-art":[167],"methods,":[170],"confirming":[171],"effective":[176],"reducing":[178],"dealing":[184],"drifts.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
