{"id":"https://openalex.org/W4407948490","doi":"https://doi.org/10.1109/tkde.2025.3546035","title":"Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training","display_name":"Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407948490","doi":"https://doi.org/10.1109/tkde.2025.3546035"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3546035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3546035","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/A5007147042","display_name":"Juyong Jiang","orcid":"https://orcid.org/0000-0003-0835-9686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juyong Jiang","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073382156","display_name":"Peiyan Zhang","orcid":"https://orcid.org/0000-0002-8691-1846"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peiyan Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-8691-1846","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009715711","display_name":"Yingtao Luo","orcid":"https://orcid.org/0000-0003-1794-3657"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingtao Luo","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0003-1794-3657","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9867-1712","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012882402","display_name":"Jae Boum Kim","orcid":"https://orcid.org/0000-0001-5451-6617"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jae Boum Kim","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049144510","display_name":"Kai Zhang","orcid":"https://orcid.org/0009-0004-3984-9957"},"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":"Kai Zhang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035708362","display_name":"Senzhang Wang","orcid":"https://orcid.org/0000-0002-3615-4859"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senzhang Wang","raw_affiliation_strings":["Central South University, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-3615-4859","affiliations":[{"raw_affiliation_string":"Central South University, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066599821","display_name":"Sung Hun Kim","orcid":"https://orcid.org/0000-0003-4478-9720"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunghun Kim","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","Department of Computer Science, University of Illinois at Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.2365,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98292055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"37","issue":"5","first_page":"2652","last_page":"2664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9427000284194946,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9427000284194946,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9361000061035156,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9265999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8223931789398193},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5509572625160217},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41241759061813354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4000922441482544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3250718116760254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8223931789398193},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5509572625160217},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41241759061813354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4000922441482544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3250718116760254},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2025.3546035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3546035","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-147338","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-147338","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6304150607","display_name":null,"funder_award_id":"62276099","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":66,"referenced_works":["https://openalex.org/W1496462336","https://openalex.org/W2082927600","https://openalex.org/W2469952266","https://openalex.org/W2474909202","https://openalex.org/W2625746539","https://openalex.org/W2883308936","https://openalex.org/W2899457523","https://openalex.org/W2951645301","https://openalex.org/W2954996726","https://openalex.org/W2955216701","https://openalex.org/W2963341956","https://openalex.org/W2963367478","https://openalex.org/W2963944640","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2964352502","https://openalex.org/W2980951591","https://openalex.org/W2984100107","https://openalex.org/W2986878478","https://openalex.org/W3012907770","https://openalex.org/W3028156525","https://openalex.org/W3028363395","https://openalex.org/W3065542300","https://openalex.org/W3091129453","https://openalex.org/W3112334685","https://openalex.org/W3128267727","https://openalex.org/W3133849783","https://openalex.org/W3135396887","https://openalex.org/W3154362076","https://openalex.org/W3156977692","https://openalex.org/W3168607063","https://openalex.org/W3178835722","https://openalex.org/W3187977559","https://openalex.org/W3190794503","https://openalex.org/W3206127589","https://openalex.org/W4224315226","https://openalex.org/W4224316819","https://openalex.org/W4284668205","https://openalex.org/W4285428788","https://openalex.org/W4292423901","https://openalex.org/W4294031701","https://openalex.org/W4300175872","https://openalex.org/W4304080519","https://openalex.org/W4367047075","https://openalex.org/W4385245566","https://openalex.org/W4385825811","https://openalex.org/W4388187265","https://openalex.org/W6685115820","https://openalex.org/W6692935382","https://openalex.org/W6739382815","https://openalex.org/W6739516332","https://openalex.org/W6747958838","https://openalex.org/W6756130257","https://openalex.org/W6757049568","https://openalex.org/W6764112233","https://openalex.org/W6780457312","https://openalex.org/W6793572932","https://openalex.org/W6794828693","https://openalex.org/W6798128547","https://openalex.org/W6800395734","https://openalex.org/W6839675159","https://openalex.org/W6846302023","https://openalex.org/W6846814770","https://openalex.org/W6851226855","https://openalex.org/W6857127440","https://openalex.org/W6858370715"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1],"systems":[2],"are":[3],"integral":[4],"to":[5,33,100],"discerning":[6],"temporal":[7,52,68,85,95],"user":[8,17,106],"preferences.":[9],"Yet,":[10],"the":[11,35,50,116,129,150],"task":[12],"of":[13,38,131],"learning":[14],"from":[15],"abbreviated":[16],"interaction":[18],"sequences":[19],"poses":[20],"a":[21,30,73,81],"notable":[22],"challenge.":[23],"Data":[24],"augmentation":[25,42,96],"has":[26],"been":[27],"identified":[28],"as":[29,45],"potent":[31],"strategy":[32],"enhance":[34],"informational":[36],"richness":[37],"these":[39],"sequences.":[40],"Traditional":[41],"techniques,":[43],"such":[44],"item":[46,111],"randomization,":[47],"may":[48],"disrupt":[49],"inherent":[51],"dynamics.":[53],"Although":[54],"recent":[55],"advancements":[56],"in":[57,72],"reverse":[58],"chronological":[59,75],"pseudo-item":[60],"generation":[61],"have":[62],"shown":[63],"promise,":[64],"they":[65],"can":[66],"introduce":[67,80],"discrepancies":[69],"when":[70],"assessed":[71],"natural":[74],"context.":[76],"In":[77],"response,":[78],"we":[79],"sophisticated":[82],"approach,":[83],"Bidirectional":[84],"data":[86],"Augmentation":[87],"with":[88],"pre-training":[89],"(BARec).":[90],"Our":[91,120],"approach":[92],"leverages":[93],"bidirectional":[94],"and":[97,108,136,143,154],"knowledge-enhanced":[98],"fine-tuning":[99],"synthesize":[101],"authentic":[102],"pseudo-prior":[103],"items":[104],"thatretain":[105],"preferences":[107],"capture":[109],"deeper":[110],"semantic":[112],"correlations,":[113],"thus":[114],"boosting":[115],"model\u2019s":[117,151],"expressive":[118],"power.":[119],"comprehensive":[121],"experimental":[122],"analysis":[123],"on":[124],"five":[125],"benchmark":[126],"datasets":[127],"confirms":[128],"superiority":[130],"BARec":[132],"across":[133],"both":[134],"short":[135],"elongated":[137],"sequence":[138],"contexts.":[139],"Moreover,":[140],"theoretical":[141],"examination":[142],"case":[144],"study":[145],"offer":[146],"further":[147],"insight":[148],"into":[149],"logical":[152],"processes":[153],"interpretability.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}