{"id":"https://openalex.org/W3011333968","doi":"https://doi.org/10.1145/3366424.3386198","title":"\u201cAn Image is Worth a Thousand Features\u201d: Scalable Product Representations for In-Session Type-Ahead Personalization","display_name":"\u201cAn Image is Worth a Thousand Features\u201d: Scalable Product Representations for In-Session Type-Ahead Personalization","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3011333968","doi":"https://doi.org/10.1145/3366424.3386198","mag":"3011333968"},"language":"en","primary_location":{"id":"doi:10.1145/3366424.3386198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3386198","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3366424.3386198","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bingqing Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bingqing Yu","raw_affiliation_strings":["Coveo Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Coveo Montreal, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jacopo Tagliabue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacopo Tagliabue","raw_affiliation_strings":["Coveo Labs New York, NY"],"affiliations":[{"raw_affiliation_string":"Coveo Labs New York, NY","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ciro Greco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ciro Greco","raw_affiliation_strings":["Coveo Labs New York, NY"],"affiliations":[{"raw_affiliation_string":"Coveo Labs New York, NY","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Federico Bianchi","orcid":null},"institutions":[{"id":"https://openalex.org/I71209653","display_name":"Bocconi University","ror":"https://ror.org/05crjpb27","country_code":"IT","type":"education","lineage":["https://openalex.org/I71209653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Bianchi","raw_affiliation_strings":["Bocconi University Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Bocconi University Milano, Italy","institution_ids":["https://openalex.org/I71209653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2459,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54327081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.20350000262260437,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.20350000262260437,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.20000000298023224,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.05719999969005585,"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/personalization","display_name":"Personalization","score":0.882099986076355},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.616599977016449},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.593999981880188},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5546000003814697},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5194000005722046},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.44670000672340393}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.882099986076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684999704360962},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.616599977016449},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5080000162124634},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.49939998984336853},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C23219732","wikidata":"https://www.wikidata.org/wiki/Q7247800","display_name":"Product type","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3366424.3386198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3386198","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.07160","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.07160","pdf_url":"https://arxiv.org/pdf/2003.07160","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3366424.3386198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3386198","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1999965501","https://openalex.org/W2057900969","https://openalex.org/W2139873966","https://openalex.org/W2250539671","https://openalex.org/W2339673956","https://openalex.org/W2512971201","https://openalex.org/W2740195281","https://openalex.org/W2798523458","https://openalex.org/W2800585554","https://openalex.org/W2963809228","https://openalex.org/W4301213493"],"related_works":["https://openalex.org/W2374116733","https://openalex.org/W2379285345","https://openalex.org/W1506282065","https://openalex.org/W2434776979","https://openalex.org/W164399129","https://openalex.org/W2152460676","https://openalex.org/W2950461337","https://openalex.org/W2009730532","https://openalex.org/W269951814","https://openalex.org/W2118898598"],"abstract_inverted_index":{"We":[0,26,49],"address":[1],"the":[2,15,74,77,96,105,141],"problem":[3],"of":[4,76,98,107],"personalizing":[5],"query":[6,47],"completion":[7],"in":[8,13,140],"a":[9,33,84],"digital":[10],"commerce":[11],"setting,":[12],"which":[14],"bounce":[16],"rate":[17],"is":[18],"typically":[19],"high":[20],"and":[21,31,66,70,131],"recurring":[22],"users":[23,99],"are":[24],"rare.":[25],"focus":[27],"on":[28,73],"in-session":[29],"personalization":[30,53,111],"improve":[32,95],"standard":[34],"noisy":[35],"channel":[36],"model":[37],"by":[38],"injecting":[39],"dense":[40],"vectors":[41],"computed":[42],"from":[43],"product":[44],"images":[45],"at":[46],"time.":[48],"argue":[50],"that":[51,125,136],"image-based":[52],"displays":[54],"several":[55],"advantages":[56],"over":[57],"alternative":[58],"proposals":[59],"(from":[60],"data":[61],"availability":[62],"to":[63,94,112,118,122,132],"business":[64],"scalability),":[65],"provide":[67],"quantitative":[68],"evidence":[69],"qualitative":[71],"support":[72],"effectiveness":[75],"proposed":[78],"methods.":[79],"Finally,":[80],"we":[81],"show":[82],"how":[83],"shared":[85],"vector":[86],"space":[87],"between":[88],"similar":[89],"shops":[90],"can":[91],"be":[92,119],"used":[93],"experience":[97],"browsing":[100],"across":[101],"sites,":[102],"opening":[103],"up":[104],"possibility":[106],"applying":[108],"zero-shot":[109],"unsupervised":[110],"increase":[113],"conversions.":[114],"This":[115],"will":[116],"prove":[117],"particularly":[120],"relevant":[121],"retail":[123],"groups":[124],"manage":[126],"multiple":[127,138],"brands":[128],"and/or":[129],"websites":[130],"multi-tenant":[133],"SaaS":[134],"providers":[135],"serve":[137],"clients":[139],"same":[142],"space.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-03-23T00:00:00"}