{"id":"https://openalex.org/W2048318462","doi":"https://doi.org/10.1145/1873951.1873977","title":"Supervised reranking for web image search","display_name":"Supervised reranking for web image search","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W2048318462","doi":"https://doi.org/10.1145/1873951.1873977","mag":"2048318462"},"language":"en","primary_location":{"id":"doi:10.1145/1873951.1873977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1873977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100860846","display_name":"Linjun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linjun Yang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037486611","display_name":"Alan Hanjali\u0107","orcid":"https://orcid.org/0000-0002-5771-2549"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alan Hanjalic","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands","Delft University of Technology, Delft, Netherlands;"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands;","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100860846"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":10.6545,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.98706427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"192"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.996999979019165,"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":0.8528538942337036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5492817759513855},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5365244150161743},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4779205918312073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4760315716266632},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.47102388739585876},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44062110781669617},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4374852776527405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41040295362472534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34350818395614624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8528538942337036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5492817759513855},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5365244150161743},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4779205918312073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4760315716266632},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.47102388739585876},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44062110781669617},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4374852776527405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41040295362472534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34350818395614624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1873951.1873977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1873977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W174507466","https://openalex.org/W1512098439","https://openalex.org/W1525974171","https://openalex.org/W1604938182","https://openalex.org/W1606936740","https://openalex.org/W1660390307","https://openalex.org/W1972442292","https://openalex.org/W1985514943","https://openalex.org/W1985554184","https://openalex.org/W2009501377","https://openalex.org/W2023170106","https://openalex.org/W2035720976","https://openalex.org/W2047221353","https://openalex.org/W2076287166","https://openalex.org/W2078570228","https://openalex.org/W2080289064","https://openalex.org/W2090912237","https://openalex.org/W2104895009","https://openalex.org/W2108862644","https://openalex.org/W2117876453","https://openalex.org/W2118509786","https://openalex.org/W2118573581","https://openalex.org/W2120477910","https://openalex.org/W2133522265","https://openalex.org/W2137117795","https://openalex.org/W2141362318","https://openalex.org/W2146090483","https://openalex.org/W2153677638","https://openalex.org/W2154563586","https://openalex.org/W4239181501","https://openalex.org/W4244343699","https://openalex.org/W4251560691","https://openalex.org/W4296262844","https://openalex.org/W6636201897","https://openalex.org/W6637101025","https://openalex.org/W6646664084"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Visual":[0],"search":[1,10,38,58,223],"reranking":[2,39,70,126,153,169,179,183,204,244],"that":[3,36,157,235],"aims":[4],"to":[5,49,88,161],"improve":[6],"the":[7,12,29,34,37,47,57,65,69,78,86,91,102,105,110,120,125,133,189,193,210,221,236,241,248],"text-based":[8],"image":[9,232,259],"with":[11],"help":[13],"from":[14,33,76,132,147,220],"visual":[15,94,194,214],"content":[16],"analysis":[17],"has":[18,46],"rapidly":[19],"grown":[20],"into":[21],"a":[22,129,151,167,251],"hot":[23],"research":[24],"topic.":[25],"The":[26,181,225],"interestingness":[27],"of":[28,68,80,93,104,112],"topic":[30],"stems":[31],"mainly":[32],"fact":[35],"is":[40,140,155,186],"an":[41],"unsupervised":[42,66,243],"process":[43],"and":[44,192,216,256],"therefore":[45],"potential":[48],"scale":[50],"better":[51],"than":[52],"its":[53],"main":[54,79],"alternative,":[55],"namely":[56],"based":[59],"on":[60,228],"offline-learned":[61],"semantic":[62],"concepts.":[63],"However,":[64],"nature":[67],"paradigm":[71,250],"also":[72],"makes":[73,247],"it":[74],"suffer":[75,146],"problems,":[77],"which":[81,123,246],"can":[82,158],"be":[83,159,172],"identified":[84],"as":[85],"difficulty":[87],"optimally":[89],"determine":[90],"role":[92],"modality":[95],"over":[96],"different":[97,197],"application":[98],"scenarios.":[99],"Inspired":[100],"by":[101,208],"success":[103],"\"learning-to-rank\"":[106],"idea":[107],"proposed":[108,207,237],"in":[109,117,128],"field":[111],"information":[113],"retrieval,":[114],"we":[115],"propose":[116],"this":[118,200],"paper":[119],"\"learning-to-rerank\"":[121],"paradigm,":[122],"derives":[124],"function":[127],"supervised":[130,138],"fashion":[131],"human-labeled":[134],"training":[135],"data.":[136],"Although":[137],"learning":[139],"introduced,":[141],"our":[142],"approach":[143],"does":[144],"not":[145],"scalability":[148],"issues":[149],"since":[150,188],"unified":[152],"model":[154,170],"learned":[156,173],"applied":[160],"all":[162,175],"queries.":[163],"In":[164,199],"other":[165],"words,":[166],"query-independent":[168],"will":[171],"for":[174,254],"queries":[176],"using":[177,213],"query-dependent":[178,182],"features.":[180],"feature":[184],"extraction":[185],"challenging":[187],"textual":[190,211],"query":[191,212],"documents":[195],"have":[196],"representation.":[198],"paper,":[201],"11":[202],"lightweight":[203],"features":[205],"are":[206],"representing":[209],"context":[215],"pseudo":[217],"relevant":[218],"images":[219],"initial":[222],"result.":[224],"experiments":[226],"performed":[227],"two":[229],"representative":[230],"Web":[231],"datasets":[233],"demonstrate":[234],"learning-to-rerank":[238,249],"algorithm":[239],"outperforms":[240],"state-of-the-art":[242],"methods,":[245],"promising":[252],"alternative":[253],"robust":[255],"reliable":[257],"Web-scale":[258],"search.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":18}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
