{"id":"https://openalex.org/W4205327684","doi":"https://doi.org/10.1109/bigdata52589.2021.9671384","title":"Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network","display_name":"Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205327684","doi":"https://doi.org/10.1109/bigdata52589.2021.9671384"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030127078","display_name":"Ketki Gupte","orcid":"https://orcid.org/0000-0002-7497-9480"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ketki Gupte","raw_affiliation_strings":["WalmartLabs, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WalmartLabs, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033127375","display_name":"Linsey Pang","orcid":"https://orcid.org/0000-0002-4784-9795"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linsey Pang","raw_affiliation_strings":["WalmartLabs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WalmartLabs, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049766581","display_name":"Harshada Vuyyuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harshada Vuyyuri","raw_affiliation_strings":["WalmartLabs, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WalmartLabs, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089951885","display_name":"Sujitha Pasumarty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sujitha Pasumarty","raw_affiliation_strings":["WalmartLabs, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WalmartLabs, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.191,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54375599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4500","last_page":"4505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9735000133514404,"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/computer-science","display_name":"Computer science","score":0.7329584360122681},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6969214677810669},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6490070223808289},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6184453964233398},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6130976676940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5178189873695374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.506121814250946},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5041357278823853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41652244329452515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38896408677101135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37696710228919983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36127984523773193},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3609310984611511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11434152722358704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09397894144058228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329584360122681},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6969214677810669},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6490070223808289},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6184453964233398},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6130976676940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178189873695374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.506121814250946},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5041357278823853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41652244329452515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38896408677101135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37696710228919983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36127984523773193},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3609310984611511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11434152722358704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09397894144058228},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2018378172","https://openalex.org/W2131744502","https://openalex.org/W2250539671","https://openalex.org/W2508865106","https://openalex.org/W2510940142","https://openalex.org/W2552579943","https://openalex.org/W2792276797","https://openalex.org/W2883311563","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W3080427797","https://openalex.org/W3122890974","https://openalex.org/W3127602238","https://openalex.org/W4287326768","https://openalex.org/W6629028937","https://openalex.org/W6679775712","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6779068807","https://openalex.org/W6790759947"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416"],"abstract_inverted_index":{"In":[0],"the":[1,15,33,36,89,102],"expanding":[2],"world":[3],"of":[4,12,26],"online":[5],"retail,":[6],"there":[7],"exists":[8],"an":[9,41],"extensive":[10],"catalog":[11],"products":[13,34,50],"in":[14,52],"current":[16],"retail":[17],"markets.":[18],"Different":[19],"retailers":[20],"and":[21,29,43,63,86,91,98],"e-commerce":[22],"sites":[23],"have":[24],"millions":[25],"product":[27,61,80,108],"images":[28,85],"text":[30,87],"descriptions.":[31],"Matching":[32],"across":[35],"universe":[37],"proves":[38],"to":[39,46,105,114],"be":[40],"important":[42],"challenging":[44],"task":[45],"determine":[47],"if":[48],"specific":[49],"exist":[51],"our":[53,57,116,128],"catalog.":[54],"Expanding":[55],"upon":[56],"previous":[58],"work":[59],"on":[60],"matching":[62,81,92],"category":[64],"mapping":[65],"from":[66],"textual":[67],"descriptions":[68],"using":[69,83],"transformer":[70,97],"based":[71],"models,":[72],"we":[73],"propose":[74],"a":[75],"weighted":[76,118],"multi-modal":[77,119],"approach":[78,120,130],"for":[79],"by":[82],"both":[84,96],"within":[88],"training":[90],"process.":[93],"We":[94],"integrate":[95],"ResNet":[99],"architectures":[100],"into":[101],"siamese":[103],"network":[104],"generate":[106],"fine-tuned":[107],"embedding.":[109],"Extensive":[110],"experiments":[111,126],"are":[112],"conducted":[113],"evaluate":[115],"proposed":[117,129],"comparing":[121],"with":[122],"single-modal":[123,132],"approaches.":[124,133],"The":[125],"show":[127],"outperforms":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}