{"id":"https://openalex.org/W2786649424","doi":"https://doi.org/10.1145/3219819.3219843","title":"Web-Scale Responsive Visual Search at Bing","display_name":"Web-Scale Responsive Visual Search at Bing","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2786649424","doi":"https://doi.org/10.1145/3219819.3219843","mag":"2786649424"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073544851","display_name":"Houdong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Houdong Hu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322777","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-7126-4973"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100860846","display_name":"Linjun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linjun Yang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089729043","display_name":"Pavel Komlev","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavel Komlev","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032614974","display_name":"Li Huang","orcid":"https://orcid.org/0000-0003-2766-8089"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Huang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329931","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-3135-4114"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi (Stephen) Chen","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037943982","display_name":"Jiapei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiapei Huang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694810","display_name":"Ye Wu","orcid":"https://orcid.org/0009-0002-5129-8487"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Wu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086223374","display_name":"Meenaz Merchant","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meenaz Merchant","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016857635","display_name":"Arun Sacheti","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Sacheti","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft, Redmond WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft, Redmond WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5073544851"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":1.29944285,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.7993242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"367"},"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":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8337867856025696},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7396929860115051},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5014519691467285},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.48965317010879517},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4892744719982147},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43644797801971436},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4224443733692169},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3579709529876709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35029464960098267},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3220500349998474},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14124345779418945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8337867856025696},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7396929860115051},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5014519691467285},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.48965317010879517},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4892744719982147},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43644797801971436},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4224443733692169},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3579709529876709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35029464960098267},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3220500349998474},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14124345779418945},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3219819.3219843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.04914","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04914","pdf_url":"https://arxiv.org/pdf/1802.04914","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:2786649424","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1802.04914","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.1802.04914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.04914","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":"doi:10.1145/3219819.3219843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219819.3219843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219819.3219843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786649424.pdf","grobid_xml":"https://content.openalex.org/works/W2786649424.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1552767446","https://openalex.org/W1979931042","https://openalex.org/W2035720976","https://openalex.org/W2076439560","https://openalex.org/W2097117768","https://openalex.org/W2103163130","https://openalex.org/W2107890099","https://openalex.org/W2109255472","https://openalex.org/W2111006384","https://openalex.org/W2115584760","https://openalex.org/W2123229215","https://openalex.org/W2130660124","https://openalex.org/W2131846894","https://openalex.org/W2155893237","https://openalex.org/W2156854610","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2471768434","https://openalex.org/W2513383847","https://openalex.org/W2594696540","https://openalex.org/W2625758617","https://openalex.org/W2949117887","https://openalex.org/W2950094539","https://openalex.org/W2953106684"],"related_works":["https://openalex.org/W3128537296","https://openalex.org/W2107698128","https://openalex.org/W2100142570","https://openalex.org/W2147682847","https://openalex.org/W2906975967","https://openalex.org/W164739091","https://openalex.org/W2118513256","https://openalex.org/W3099407522","https://openalex.org/W2189350709","https://openalex.org/W2580576985","https://openalex.org/W2953498552","https://openalex.org/W2076345386","https://openalex.org/W2976602164","https://openalex.org/W3017523321","https://openalex.org/W2101552841","https://openalex.org/W2147880983","https://openalex.org/W2951305892","https://openalex.org/W2275261517","https://openalex.org/W2264301372","https://openalex.org/W36199337"],"abstract_inverted_index":{"In":[0,41],"this":[1],"paper,":[2],"we":[3,58],"introduce":[4],"a":[5,60,75],"web-scale":[6],"general":[7],"visual":[8,70],"search":[9],"system":[10,16,87],"deployed":[11],"in":[12,23,36,47,52,74],"Microsoft":[13],"Bing.":[14],"The":[15],"accommodates":[17],"tens":[18],"of":[19,21,28,56],"billions":[20],"images":[22],"the":[24,45],"index,":[25],"with":[26],"thousands":[27],"features":[29],"for":[30],"each":[31],"image,":[32],"and":[33,50,72,81,97],"can":[34],"respond":[35],"less":[37],"than":[38],"200":[39],"ms.":[40],"order":[42],"to":[43,90],"overcome":[44],"challenges":[46],"relevance,":[48],"latency,":[49],"scalability":[51],"such":[53],"large":[54],"scale":[55],"data,":[57],"employ":[59],"cascaded":[61],"learning-to-rank":[62],"framework":[63],"based":[64],"on":[65,94],"various":[66,92],"latest":[67],"deep":[68],"learning":[69],"features,":[71],"deploy":[73],"distributed":[76],"heterogeneous":[77],"computing":[78],"platform.":[79],"Quantitative":[80],"qualitative":[82],"experiments":[83],"show":[84],"that":[85],"our":[86],"is":[88],"able":[89],"support":[91],"applications":[93],"Bing":[95],"website":[96],"apps.":[98]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}