{"id":"https://openalex.org/W2943383541","doi":"https://doi.org/10.1145/3372124.3372126","title":"Learning Image Information for eCommerce Queries","display_name":"Learning Image Information for eCommerce Queries","publication_year":2019,"publication_date":"2019-12-05","ids":{"openalex":"https://openalex.org/W2943383541","doi":"https://doi.org/10.1145/3372124.3372126","mag":"2943383541"},"language":"en","primary_location":{"id":"doi:10.1145/3372124.3372126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372124.3372126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Australasian Document Computing Symposium","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.12856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045110213","display_name":"Utkarsh Porwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]},{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":true,"raw_author_name":"Utkarsh Porwal","raw_affiliation_strings":["eBay Inc, San Jose, California","eBay#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc, San Jose, California","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045110213"],"corresponding_institution_ids":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03025896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9990000128746033,"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/information-retrieval","display_name":"Information retrieval","score":0.7695160508155823},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6905980110168457},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6791344285011292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6756565570831299},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6484174132347107},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5926502346992493},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5921028852462769},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.53792405128479},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4874112904071808},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47822660207748413},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.47051969170570374},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4375345706939697},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4256194531917572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3598477840423584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2647877633571625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2107866108417511}],"concepts":[{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7695160508155823},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6905980110168457},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6791344285011292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756565570831299},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6484174132347107},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5926502346992493},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5921028852462769},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.53792405128479},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4874112904071808},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47822660207748413},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.47051969170570374},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4375345706939697},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4256194531917572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3598477840423584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2647877633571625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2107866108417511},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3372124.3372126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372124.3372126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Australasian Document Computing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.12856","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12856","pdf_url":"https://arxiv.org/pdf/1904.12856","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":"","raw_type":"text"},{"id":"mag:2943383541","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.12856v1","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1904.12856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.12856","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.12856","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12856","pdf_url":"https://arxiv.org/pdf/1904.12856","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943383541.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1497960466","https://openalex.org/W1523385540","https://openalex.org/W1949478088","https://openalex.org/W2025341678","https://openalex.org/W2070996757","https://openalex.org/W2100235303","https://openalex.org/W2164152532","https://openalex.org/W2194775991","https://openalex.org/W2564591810","https://openalex.org/W2594290559","https://openalex.org/W2949999304","https://openalex.org/W2953133476","https://openalex.org/W2963055343","https://openalex.org/W2964024144"],"related_works":["https://openalex.org/W1977347765","https://openalex.org/W178149585","https://openalex.org/W3105122291","https://openalex.org/W2230616111","https://openalex.org/W1989813731","https://openalex.org/W31629904","https://openalex.org/W2168507657","https://openalex.org/W3133036362","https://openalex.org/W2332145854","https://openalex.org/W1986695362","https://openalex.org/W2851546377","https://openalex.org/W2330073594","https://openalex.org/W2080060962","https://openalex.org/W2154889398","https://openalex.org/W2765009878","https://openalex.org/W2130973466","https://openalex.org/W2511006541","https://openalex.org/W3197479024","https://openalex.org/W2566745369","https://openalex.org/W2589656357"],"abstract_inverted_index":{"Computing":[0],"similarity":[1,20,41,128,220],"between":[2,129],"a":[3,6,66,121,145,184,195,222],"query":[4,72,197,206],"and":[5,28,38,198,226],"document":[7,34],"is":[8,21,35,133],"fundamental":[9],"in":[10,25,92,99,126],"any":[11],"information":[12,151,159,212],"retrieval":[13,27],"system.":[14],"In":[15,31],"search":[16,141,236],"engines,":[17],"computing":[18],"query-document":[19],"an":[22,36,172],"essential":[23],"step":[24],"both":[26],"ranking":[29],"stages.":[30],"eBay":[32],"search,":[33],"item":[37,63,119,163,199],"the":[39,50,59,62,71,77,81,93,100,106,115,118,130,137,140,189,214,218,228,231,244,249,256,266,271],"query-item":[40,51,131,219],"can":[42,55,73],"be":[43,56,74],"computed":[44],"by":[45,111],"comparing":[46],"different":[47],"facets":[48],"of":[49,61,80,105,117,139,148,166,230],"pair.":[52],"Query":[53],"text":[54,60],"compared":[57,75],"with":[58,76,268],"title.":[64],"Likewise,":[65],"category":[67,79],"constraint":[68],"applied":[69],"on":[70,234],"listing":[78],"item.":[82],"However,":[83],"images":[84,164],"are":[85,89,96,103],"one":[86,104],"signal":[87,125],"that":[88,203],"usually":[90],"present":[91,98],"items":[94],"but":[95],"not":[97],"query.":[101,122,215],"Images":[102],"most":[107],"intuitive":[108],"signals":[109],"used":[110],"users":[112],"to":[113,135,156,182],"determine":[114],"relevance":[116,138,241,263],"given":[120],"Including":[123],"this":[124,204],"estimating":[127],"pair":[132],"likely":[134],"improve":[136],"engine.":[142],"We":[143,154,176,201,216,238,259],"propose":[144],"novel":[146],"way":[147],"deriving":[149],"image":[150,158,169,173,211],"for":[152,160,174],"queries.":[153,175],"attempt":[155],"learn":[157,183],"queries":[161],"from":[162],"instead":[165],"generating":[167],"explicit":[168],"features":[170],"or":[171],"use":[177],"canonical":[178],"correlation":[179],"analysis":[180],"(CCA)":[181],"new":[185,196,205],"subspace":[186],"where":[187],"projecting":[188],"original":[190],"data":[191],"will":[192,208],"give":[193],"us":[194],"representation.":[200],"hypothesize":[202],"representation":[207],"also":[209,260],"have":[210],"about":[213],"estimate":[217],"using":[221,246],"vector":[223],"space":[224],"model":[225],"report":[227],"performance":[229],"proposed":[232],"method":[233],"eBay's":[235],"data.":[237],"show":[239,261],"11.89%":[240],"improvement":[242,264],"over":[243,265],"baseline":[245,267],"Area":[247,269],"Under":[248,270],"Receiver":[250],"Operating":[251],"Characteristic":[252],"curve":[253],"(AUROC)":[254],"as":[255],"evaluation":[257],"metric.":[258],"3.1%":[262],"Precision":[272],"Recall":[273],"Curve":[274],"(AUPRC).":[275]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}