{"id":"https://openalex.org/W4296591851","doi":"https://doi.org/10.1145/3523227.3547377","title":"Reusable Self-Attention Recommender Systems in Fashion Industry Applications","display_name":"Reusable Self-Attention Recommender Systems in Fashion Industry Applications","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296591851","doi":"https://doi.org/10.1145/3523227.3547377"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.06777","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058999188","display_name":"Marjan Celikik","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marjan Celikik","raw_affiliation_strings":["Zalando SE, Germany"],"affiliations":[{"raw_affiliation_string":"Zalando SE, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057647058","display_name":"Ana Peleteiro Ramallo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ana Peleteiro Ramallo","raw_affiliation_strings":["Zalando SE, Germany"],"affiliations":[{"raw_affiliation_string":"Zalando SE, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010095910","display_name":"Jacek Wasilewski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacek Wasilewski","raw_affiliation_strings":["Zalando SE, Germany"],"affiliations":[{"raw_affiliation_string":"Zalando SE, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058999188"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.102,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3900561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9929999709129333,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8742344975471497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8174093961715698},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.7875378131866455},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6841331720352173},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.656648576259613},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5295729637145996},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.504644513130188},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.43762892484664917},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4105467200279236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3121555745601654}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8742344975471497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174093961715698},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.7875378131866455},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6841331720352173},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.656648576259613},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5295729637145996},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.504644513130188},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43762892484664917},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4105467200279236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3121555745601654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3523227.3547377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2301.06777","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06777","pdf_url":"https://arxiv.org/pdf/2301.06777","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.06777","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06777","pdf_url":"https://arxiv.org/pdf/2301.06777","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296591851.pdf","grobid_xml":"https://content.openalex.org/works/W4296591851.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2625746539","https://openalex.org/W2765564115","https://openalex.org/W2902365885","https://openalex.org/W2937556626","https://openalex.org/W2963367478","https://openalex.org/W2994850640","https://openalex.org/W3098231197","https://openalex.org/W3105136066","https://openalex.org/W3178643016","https://openalex.org/W3200664681","https://openalex.org/W3211064062","https://openalex.org/W4225635261","https://openalex.org/W4229012946","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2982321410","https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2392004567","https://openalex.org/W2382021449","https://openalex.org/W2046296964","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2809477719","https://openalex.org/W2183692821"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2],"of":[3,13,29,55,85,112],"empirical":[4],"studies":[5],"on":[6,18,24,142],"applying":[7],"self-attention":[8],"models":[9],"in":[10,89,109],"the":[11,62,135],"domain":[12],"recommender":[14,129],"systems":[15],"are":[16,58,81],"based":[17],"offline":[19],"evaluation":[20],"and":[21,39,121,127,152],"metrics":[22],"computed":[23],"standardized":[25],"datasets.":[26],"Moreover,":[27,116],"many":[28],"them":[30],"do":[31],"not":[32,82],"consider":[33],"side":[34],"information":[35],"such":[36,146],"as":[37,147],"item":[38],"customer":[40],"metadata":[41],"although":[42],"deep-learning":[43],"recommenders":[44],"live":[45,104],"up":[46,113],"to":[47,73,98,114],"their":[48,86],"full":[49],"potential":[50],"only":[51,66],"when":[52],"numerous":[53],"features":[54],"heterogeneous":[56],"type":[57],"included.":[59],"Also,":[60],"normally":[61],"model":[63],"is":[64],"used":[65],"for":[67,131],"a":[68,125],"single":[69],"use":[70],"case.":[71],"Due":[72],"these":[74],"shortcomings,":[75],"even":[76],"if":[77],"relevant,":[78],"previous":[79],"works":[80],"always":[83],"representative":[84],"actual":[87],"effectiveness":[88],"real-world":[90],"industry":[91],"applications.":[92],"In":[93,138],"this":[94,100],"talk,":[95],"we":[96,117,140],"contribute":[97],"bridging":[99],"gap":[101],"by":[102],"presenting":[103],"experimental":[105],"results":[106],"demonstrating":[107],"improvements":[108],"user":[110],"retention":[111],"30%.":[115],"share":[118],"our":[119],"learnings":[120],"challenges":[122],"from":[123,134],"building":[124],"re-usable":[126],"configurable":[128],"system":[130],"various":[132],"applications":[133],"fashion":[136,143],"industry.":[137],"particular,":[139],"focus":[141],"inspiration":[144],"use-cases,":[145],"outfit":[148,150,155],"ranking,":[149],"recommendation":[151],"real-time":[153],"personalized":[154],"generation.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
