{"id":"https://openalex.org/W7162289499","doi":"https://doi.org/10.1109/access.2026.3696401","title":"End-to-End Explainable Sequential Recommendation Based on Multi-Strategy Training and Adaptive Loss Balancing","display_name":"End-to-End Explainable Sequential Recommendation Based on Multi-Strategy Training and Adaptive Loss Balancing","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7162289499","doi":"https://doi.org/10.1109/access.2026.3696401"},"language":null,"primary_location":{"id":"doi:10.1109/access.2026.3696401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3696401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3696401","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136907190","display_name":"Yong Zhu","orcid":"https://orcid.org/0009-0001-1090-1158"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhu","raw_affiliation_strings":["College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0001-1090-1158","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114030247","display_name":"Ying-an LIU","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-An Liu","raw_affiliation_strings":["College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64120155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"80563","last_page":"80572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.4498000144958496,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.4498000144958496,"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":0.22040000557899475,"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":0.040699999779462814,"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/training","display_name":"Training (meteorology)","score":0.6919000148773193},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43149998784065247},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.26510000228881836},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.2639999985694885},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.23649999499320984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8445000052452087},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6919000148773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46320000290870667},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3248000144958496},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.23649999499320984},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.23080000281333923},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2199999988079071}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2026.3696401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3696401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3696401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3696401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4450482726097107}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,23,80],"has":[2],"achieved":[3],"significant":[4],"progress":[5],"in":[6,43],"accuracy":[7],"metrics,":[8],"but":[9],"practical":[10],"deployment":[11],"still":[12],"faces":[13],"two":[14,39],"key":[15],"challenges:":[16],"existing":[17],"models":[18],"struggle":[19],"to":[20,34,74,109,135],"provide":[21],"evidence-based":[22],"explanations,":[24],"and":[25,53,94,106,175],"jointly":[26],"training":[27,85,153],"explanation":[28,48,111,129,155],"generation":[29],"with":[30,69,179],"ranking":[31,51,122,147,159,180],"tasks":[32],"leads":[33],"gradient":[35],"interference":[36],"between":[37],"the":[38,65,70,115,141,145],"objectives,":[40],"often":[41],"resulting":[42],"a":[44,60,172],"trade-off":[45],"where":[46],"improving":[47,128],"quality":[49,130],"degrades":[50],"performance":[52,123],"vice":[54],"versa.":[55],"This":[56],"paper":[57],"proposes":[58],"T5ESR,":[59],"framework":[61],"that":[62,119,140,163],"deeply":[63],"couples":[64],"SASRec":[66],"sequence":[67],"encoder":[68],"T5":[71],"generative":[72],"model":[73],"build":[75],"an":[76,183],"end-to-end":[77],"explainable":[78,151],"sequential":[79],"system.We":[81],"systematically":[82],"compare":[83],"four":[84],"strategies\u2014Stop-Grad":[86],"(gradient":[87],"truncation),":[88],"Two-Stage":[89],"(staged":[90],"training),":[91],"fixed-weight":[92],"Joint,":[93],"GradNorm-based":[95],"dynamic":[96],"weighting\u2014and":[97],"explore":[98],"inference-time":[99],"constraints":[100],"including":[101],"length":[102],"normalization,":[103],"coverage":[104],"penalty,":[105],"entity":[107],"alignment":[108,178],"improve":[110],"readability.":[112],"Experiments":[113],"on":[114],"MIND":[116],"dataset":[117],"demonstrate":[118],"T5ESR":[120],"maintains":[121],"(Hit@10":[124],"reaches":[125],"23.06\u00b10.09)":[126],"while":[127,150],"(BLEU-4":[131],"increases":[132],"from":[133],"57.14":[134],"59.35).":[136],"Ablation":[137],"studies":[138],"reveal":[139],"debiased":[142],"loss":[143],"contributes":[144],"primary":[146],"improvement":[148],"(+15.7%),":[149],"multi-task":[152],"introduces":[154],"capability":[156],"without":[157],"harming":[158],"performance.":[160],"We":[161],"acknowledge":[162],"under":[164],"weak":[165],"supervision":[166],"settings,":[167],"BLEU-based":[168],"evaluation":[169,188],"serves":[170],"as":[171],"proxy":[173],"measure":[174],"strict":[176],"faithfulness":[177],"logic":[181],"remains":[182],"open":[184],"challenge":[185],"requiring":[186],"human":[187],"or":[189],"causal":[190],"validation.":[191]},"counts_by_year":[],"updated_date":"2026-06-02T06:17:35.589633","created_date":"2026-05-26T00:00:00"}