{"id":"https://openalex.org/W4414034850","doi":"https://doi.org/10.1145/3705328.3748131","title":"An Analysis of Learned Product Embeddings in an E-Commerce Context","display_name":"An Analysis of Learned Product Embeddings in an E-Commerce Context","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034850","doi":"https://doi.org/10.1145/3705328.3748131"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748131","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748131","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748131","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748131","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064939700","display_name":"M\u00e1t\u00e9 Hartstein","orcid":"https://orcid.org/0000-0003-1128-8057"},"institutions":[{"id":"https://openalex.org/I4210148881","display_name":"ING Bank","ror":"https://ror.org/059et9981","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210148881"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mate Hartstein","raw_affiliation_strings":["IKEA Retail (Ingka Group), Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1128-8057","affiliations":[{"raw_affiliation_string":"IKEA Retail (Ingka Group), Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210148881"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556709","display_name":"Eva Giannatou","orcid":"https://orcid.org/0009-0004-3719-9276"},"institutions":[{"id":"https://openalex.org/I4210148881","display_name":"ING Bank","ror":"https://ror.org/059et9981","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210148881"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Eva Giannatou","raw_affiliation_strings":["IKEA Retail (Ingka Group), Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0009-0004-3719-9276","affiliations":[{"raw_affiliation_string":"IKEA Retail (Ingka Group), Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210148881"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088690598","display_name":"Martin Tegn\u00e9r","orcid":"https://orcid.org/0000-0003-2750-4789"},"institutions":[{"id":"https://openalex.org/I4210101531","display_name":"4IT I (Sweden)","ror":"https://ror.org/011jh0j93","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210101531"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Martin Tegner","raw_affiliation_strings":["IKEA Retail (Ingka Group), Malm\u00f6, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-2750-4789","affiliations":[{"raw_affiliation_string":"IKEA Retail (Ingka Group), Malm\u00f6, Sweden","institution_ids":["https://openalex.org/I4210101531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064939700"],"corresponding_institution_ids":["https://openalex.org/I4210148881"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90296437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"911","last_page":"914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9934999942779541,"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/context","display_name":"Context (archaeology)","score":0.6747450828552246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586186289787292},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.5733856558799744},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5695803165435791},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3268016278743744},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27418261766433716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12605562806129456},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05283805727958679}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6747450828552246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586186289787292},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.5733856558799744},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5695803165435791},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3268016278743744},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27418261766433716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12605562806129456},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05283805727958679},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3748131","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748131","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748131","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748131","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748131","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748131","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034850.pdf","grobid_xml":"https://content.openalex.org/works/W4414034850.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2488375705","https://openalex.org/W2799915114","https://openalex.org/W2963341956","https://openalex.org/W4301213493","https://openalex.org/W4367597266","https://openalex.org/W4412394874"],"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/W2158975229"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"often":[2],"represent":[3],"products":[4],"with":[5],"learnable":[6],"embeddings.Yet,":[7],"we":[8,50],"seldom":[9],"examine":[10],"the":[11,14,23,60,128],"structure":[12,61],"of":[13,62],"embedding":[15,84,125],"space,":[16],"and":[17,36,93,102,117],"what":[18],"implications":[19],"it":[20],"has":[21],"for":[22],"recommendation":[24],"task":[25],"at":[26],"hand.In":[27],"contrast,":[28],"embeddings":[29,71,87,96,106],"in":[30,59,68,77,124],"natural":[31],"language":[32],"processing":[33],"are":[34],"well-understood":[35],"offer":[37,107],"intuitive":[38],"properties":[39],"through":[40],"word":[41],"analogies":[42],"(e.g.\"queen":[43],"-king":[44],"=":[45],"woman":[46],"-man\").In":[47],"this":[48],"work,":[49],"present":[51],"a":[52,78],"corresponding":[53],"approach":[54],"that":[55],"reveals":[56],"latent":[57],"knowledge":[58],"product":[63],"embeddings.We":[64],"prove":[65],"their":[66],"relevance":[67],"evaluating":[69],"several":[70],"learned":[72],"from":[73],"different":[74],"data":[75],"modalities":[76],"home-furnishing":[79],"context.Our":[80],"findings":[81],"evince":[82],"distinct":[83],"strengths:":[85],"visual":[86],"capture":[88],"explicit":[89],"attributes":[90],"like":[91,100],"colour":[92],"shape;":[94],"textual":[95],"encode":[97],"abstract":[98],"concepts":[99],"style":[101],"functionality;":[103],"while":[104],"behavioural":[105],"versatile":[108],"representations":[109],"driven":[110],"by":[111],"user":[112],"interactions.We":[113],"also":[114],"highlight":[115],"trade-offs,":[116],"link":[118],"our":[119],"evaluations":[120],"to":[121],"practical":[122],"considerations":[123],"development":[126],"within":[127],"e-commerce":[129],"domain.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}