{"id":"https://openalex.org/W4408499464","doi":"https://doi.org/10.1007/s10462-025-11174-1","title":"A context and sequence-based recommendation framework using GRU networks","display_name":"A context and sequence-based recommendation framework using GRU networks","publication_year":2025,"publication_date":"2025-03-17","ids":{"openalex":"https://openalex.org/W4408499464","doi":"https://doi.org/10.1007/s10462-025-11174-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11174-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11174-1","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s10462-025-11174-1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101500737","display_name":"R. V. Karthik","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. V. Karthik","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060650234","display_name":"V. Pandiyaraju","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Pandiyaraju","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066618434","display_name":"Sannasi Ganapathy","orcid":"https://orcid.org/0000-0001-9177-5378"},"institutions":[{"id":"https://openalex.org/I4210094264","display_name":"National Institute of Technical Teachers\u2019 Training and Research","ror":"https://ror.org/00k8f0f41","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094264"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sannasi Ganapathy","raw_affiliation_strings":["Department of Computer Science and Engineering Education, National Institute of Technical Teachers Training and Research (NITTTR), Bhopal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Education, National Institute of Technical Teachers Training and Research (NITTTR), Bhopal, India","institution_ids":["https://openalex.org/I4210094264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060650234"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":14.4114,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98554542,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"58","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.817699670791626},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6110445261001587},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5897560119628906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4703022837638855},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06277897953987122},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.058754950761795044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.817699670791626},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6110445261001587},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5897560119628906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4703022837638855},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06277897953987122},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.058754950761795044},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11174-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11174-1","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11174-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11174-1","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319346","display_name":"Vellore Institute of Technology, Chennai","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2099970131","https://openalex.org/W2157331557","https://openalex.org/W2341865734","https://openalex.org/W2605246672","https://openalex.org/W2686612813","https://openalex.org/W2750303327","https://openalex.org/W2809282873","https://openalex.org/W2893423577","https://openalex.org/W2900697500","https://openalex.org/W2973224900","https://openalex.org/W2982145560","https://openalex.org/W3014073192","https://openalex.org/W3017579368","https://openalex.org/W3018312910","https://openalex.org/W3022940334","https://openalex.org/W3033372266","https://openalex.org/W3044384472","https://openalex.org/W3045507775","https://openalex.org/W3045841900","https://openalex.org/W3047443212","https://openalex.org/W3089160862","https://openalex.org/W3091461561","https://openalex.org/W3101064725","https://openalex.org/W3108802812","https://openalex.org/W3118318587","https://openalex.org/W3118872470","https://openalex.org/W3126028779","https://openalex.org/W3127090497","https://openalex.org/W3129453022","https://openalex.org/W3135874152","https://openalex.org/W3156904194","https://openalex.org/W3164378906","https://openalex.org/W3171927318","https://openalex.org/W3173310791","https://openalex.org/W3175377713","https://openalex.org/W3183652905","https://openalex.org/W3188443178","https://openalex.org/W3198714574","https://openalex.org/W3201358284","https://openalex.org/W4229336765","https://openalex.org/W4229378764","https://openalex.org/W4285010383","https://openalex.org/W4404287629","https://openalex.org/W4405425744"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Abstract":[0],"Recommendation":[1],"systems":[2,228],"play":[3],"a":[4,76],"significant":[5],"contribution":[6],"in":[7,213],"e-commerce":[8],"for":[9],"predicting":[10,214],"the":[11,16,27,32,37,55,60,70,102,114,124,133,141,148,152,160,176,187,194,197,207,215,232],"more":[12],"relevant":[13,218],"product":[14,57,149],"to":[15,26,53,97,101,146,158,185,224,231],"customers":[17,166],"based":[18,58,104,192],"on":[19,59,105,193],"their":[20,106,169],"interests.":[21],"The":[22,46,110,203],"recommendation":[23,50,80,227],"system":[24,81,112],"refers":[25],"user-item":[28],"interaction":[29],"and":[30,48,63,108,132,171,174,217],"predicts":[31],"next":[33,188],"item":[34,44,136,179,190],"by":[35,167],"considering":[36,168],"similar":[38,226],"kind":[39],"of":[40,165,206],"user":[41],"interest":[42],"or":[43,220],"purchased.":[45],"context-aware":[47],"sequential":[49,64],"is":[51,144,156,183],"built":[52],"predict":[54],"interested":[56,189,216],"current":[61],"context":[62],"behavior":[65,163],"pattern":[66,164],"interactions.":[67],"To":[68],"fulfill":[69],"customers\u2019":[71],"requirements,":[72],"this":[73],"paper":[74],"proposes":[75],"new":[77,153],"hybrid":[78],"personalized":[79],"framework":[82,209],"called":[83],"Target":[84,117],"User":[85,118],"Context":[86],"Sequential":[87],"Prediction":[88],"Gated":[89,127],"Recurrent":[90,128],"Unit":[91,129],"(TUCSP-GRU)":[92],"using":[93,196],"deep":[94],"learning":[95,201],"methods":[96],"recommend":[98],"suitable":[99],"products":[100,219],"users":[103],"interests":[107],"context.":[109],"proposed":[111,125,134,177],"uses":[113],"newly":[115],"calculated":[116],"Specific":[119],"Product":[120],"Rating":[121],"(TUS-PR)":[122],"score,":[123],"TUS":[126],"(TUS-GRU)":[130],"model,":[131],"Top-N":[135,178],"prediction":[137,181],"method.":[138,202],"Here,":[139],"(i)":[140],"TUS-PR":[142],"score":[143],"used":[145,157,184],"improve":[147],"rating,":[150],"(ii)":[151],"TUS-GRU":[154],"model":[155],"find":[159],"sequence":[161],"purchase":[162],"long-term":[170],"short-term":[172],"interests,":[173],"(iii)":[175],"dynamic":[180],"method":[182],"adjust":[186],"list":[191],"response":[195],"back":[198],"propagation":[199],"continuous":[200],"experiment":[204],"results":[205],"TUCSP-GRU":[208],"show":[210],"better":[211],"accuracy":[212],"items":[221],"when":[222],"compared":[223],"existing":[225],"with":[229],"respect":[230],"standard":[233],"evaluation":[234],"metrics.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}