{"id":"https://openalex.org/W4416799836","doi":"https://doi.org/10.1109/snpd65828.2025.11253422","title":"A Content Based E-Commerce Dataset Recommendation System Using BERT and Named Entity Recognition","display_name":"A Content Based E-Commerce Dataset Recommendation System Using BERT and Named Entity Recognition","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4416799836","doi":"https://doi.org/10.1109/snpd65828.2025.11253422"},"language":null,"primary_location":{"id":"doi:10.1109/snpd65828.2025.11253422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11253422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-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/A5120670636","display_name":"Ayomide E. Oduba","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ayomide E. Oduba","raw_affiliation_strings":["University of Windsor,School of Computer Science,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,School of Computer Science,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041251316","display_name":"C. I. Ezeife","orcid":"https://orcid.org/0000-0002-9424-9223"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"C.I. Ezeife","raw_affiliation_strings":["University of Windsor,School of Computer Science,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,School of Computer Science,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033781856","display_name":"Mahreen Nasir","orcid":"https://orcid.org/0000-0002-5412-440X"},"institutions":[{"id":"https://openalex.org/I86519414","display_name":"Algoma University","ror":"https://ror.org/0131d6623","country_code":"CA","type":"education","lineage":["https://openalex.org/I86519414"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahreen Nasir","raw_affiliation_strings":["Algoma University,Faculty of Computer Science and Technology,Canada"],"affiliations":[{"raw_affiliation_string":"Algoma University,Faculty of Computer Science and Technology,Canada","institution_ids":["https://openalex.org/I86519414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120670636"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51590011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"704","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.4043999910354614,"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":0.4043999910354614,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.094200000166893,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.08429999649524689,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.8853999972343445},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6021000146865845},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4237000048160553},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.35749998688697815},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.3555999994277954},{"id":"https://openalex.org/keywords/metadata-repository","display_name":"Metadata repository","score":0.35260000824928284},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.3517000079154968}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8853999972343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8830000162124634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7192000150680542},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4237000048160553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35830000042915344},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.35260000824928284},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd65828.2025.11253422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11253422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W281665770","https://openalex.org/W1412447802","https://openalex.org/W2025605741","https://openalex.org/W2171960770","https://openalex.org/W2296283641","https://openalex.org/W4233596853","https://openalex.org/W4281655610","https://openalex.org/W4386280714"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"dataset":[1,71,107],"recommendation":[2,196],"(rec)":[3],"systems":[4,73],"including":[5],"those":[6],"named":[7],"as":[8,17,59,229],"ZhangRec23,":[9],"WangRec22,":[10],"and":[11,29,88,114,121,149,163,176,192,209,231],"GDS19,":[12],"face":[13],"certain":[14],"limitations,":[15],"such":[16,58,228],"lack":[18],"of":[19,37,39,61,139],"focus":[20],"on":[21,31,64,75],"e-commerce":[22,98,123],"datasets,":[23],"inability":[24],"to":[25,45,80,91,118,125,173,187],"address":[26],"complex":[27,55,199],"queries,":[28],"reliance":[30],"inconsistent":[32],"metadata":[33,112,147,175,224],"(e.g.,":[34],"data":[35],"structure":[36,156],"domain":[38],"products":[40],"being":[41],"recommended).":[42],"This":[43,100,127],"leads":[44],"incomplete":[46],"or":[47],"mismatched":[48],"results":[49,202],"returned":[50],"by":[51,212],"the":[52,93,97,102],"system":[53,109],"for":[54,67,104,198,238],"query":[56],"searches,":[57],"\"impact":[60],"seasonal":[62],"sales":[63],"customer":[65],"reviews":[66],"electronics\".":[68],"These":[69],"traditional":[70],"rec":[72,108],"rely":[74],"simple":[76],"keyword":[77,190],"matching,":[78],"failing":[79],"interpret":[81],"context-sensitive":[82],"queries":[83],"that":[84,110,204],"researchers":[85],"often":[86],"need,":[87],"are":[89],"unable":[90],"capture":[92,188],"dynamic":[94],"trends":[95],"in":[96,153,242],"domain.":[99],"highlights":[101],"need":[103],"an":[105,130,137],"advanced":[106,146],"improves":[111,206],"quality":[113],"integrates":[115],"semantic":[116,193],"understanding":[117],"recommend":[119],"precise":[120],"relevant":[122],"datasets":[124],"researchers.":[126],"paper":[128],"proposes":[129],"E-commerce":[131],"Datasets":[132],"Mining":[133],"Rec":[134],"System":[135],"(EDMRec),":[136],"adaptation":[138],"ZhangRec23":[140],"approach.":[141],"EDMRec":[142,205],"combines":[143],"content-based":[144],"filtering,":[145],"processing,":[148],"machine":[150],"learning":[151],"approach":[152],"a":[154],"three-layered":[155],"involving":[157],"(i)":[158],"Data":[159],"Collection,":[160],"(ii)Data":[161],"Processing,":[162],"(iii)":[164],"Query":[165],"Processing.":[166],"It":[167],"utilizes":[168],"Named":[169],"Entity":[170],"Recognition":[171],"(NER)":[172],"complete":[174],"uses":[177],"TF-IDF":[178],"with":[179],"Bidirectional":[180],"Encoder":[181],"Representations":[182],"from":[183,226],"Transformers":[184],"(BERT)":[185],"embeddings":[186],"both":[189],"relevance":[191],"context,":[194],"enhancing":[195],"precision":[197],"queries.":[200],"Experimental":[201],"show":[203],"precision,":[207],"recall,":[208],"F1":[210],"score":[211],"15%":[213],"over":[214],"existing":[215],"systems,":[216],"consistently":[217],"providing":[218],"contextually":[219],"accurate":[220],"recommendations":[221],"across":[222],"4,373":[223],"entries":[225],"sources":[227],"Kaggle":[230],"Google":[232],"Dataset":[233],"Search,":[234],"making":[235],"it":[236],"well-suited":[237],"supporting":[239],"data-driven":[240],"insights":[241],"e-commerce.":[243]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}
