{"id":"https://openalex.org/W2047554128","doi":"https://doi.org/10.1145/2578726.2578759","title":"Semi-Supervised Rank Learning for Multimedia Known-Item Search","display_name":"Semi-Supervised Rank Learning for Multimedia Known-Item Search","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2047554128","doi":"https://doi.org/10.1145/2578726.2578759","mag":"2047554128"},"language":"en","primary_location":{"id":"doi:10.1145/2578726.2578759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia Retrieval","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/A5079988141","display_name":"David Etter","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Etter","raw_affiliation_strings":["Department of Computer Science, George Mason University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["Department of Computer Science, George Mason University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079988141"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.7414,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75998902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"264"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046566247940063},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6206384301185608},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6026292443275452},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5522003769874573},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5233777761459351},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5028275847434998},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4905208945274353},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4846818745136261},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4585459232330322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45112720131874084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45108139514923096},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4438021779060364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.173246830701828}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046566247940063},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6206384301185608},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6026292443275452},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5522003769874573},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5233777761459351},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5028275847434998},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4905208945274353},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4846818745136261},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4585459232330322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45112720131874084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45108139514923096},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4438021779060364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.173246830701828},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2578726.2578759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.462.3945","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.3945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.gmu.edu/~carlotta/publications/ICMR14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W11620817","https://openalex.org/W1678356000","https://openalex.org/W1973435495","https://openalex.org/W1978558026","https://openalex.org/W2007815473","https://openalex.org/W2016243284","https://openalex.org/W2020278455","https://openalex.org/W2022944081","https://openalex.org/W2023682487","https://openalex.org/W2029257328","https://openalex.org/W2042241913","https://openalex.org/W2043909051","https://openalex.org/W2062903088","https://openalex.org/W2067595433","https://openalex.org/W2070493638","https://openalex.org/W2082146655","https://openalex.org/W2082713390","https://openalex.org/W2093390569","https://openalex.org/W2094145178","https://openalex.org/W2108862644","https://openalex.org/W2114982930","https://openalex.org/W2115584760","https://openalex.org/W2119605622","https://openalex.org/W2120724560","https://openalex.org/W2123365817","https://openalex.org/W2146059694","https://openalex.org/W2149427297","https://openalex.org/W2165612380","https://openalex.org/W2169114488","https://openalex.org/W2181677738","https://openalex.org/W2784672094","https://openalex.org/W2884475480","https://openalex.org/W4206765718","https://openalex.org/W4212948299","https://openalex.org/W4300799199","https://openalex.org/W6600477187","https://openalex.org/W6747597888"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4378713479","https://openalex.org/W4386076228","https://openalex.org/W4310825149","https://openalex.org/W2798269247","https://openalex.org/W2794071810","https://openalex.org/W61058509"],"abstract_inverted_index":{"Known":[0],"Item":[1],"Search":[2],"(KIS)":[3],"is":[4,54,80],"a":[5,19,24,33,37,48,57,115,118,122,129,140,152,164,187,206,226,230],"specialized":[6],"task":[7],"of":[8,60,144,170,189,198,216,238],"the":[9,16,52,66,84,91,109,135,182,199,217,223,236,241,245],"general":[10],"multimedia":[11,136,200],"search":[12,69],"problem.":[13,137],"It":[14],"describes":[15],"scenario":[17],"where":[18],"user":[20],"has":[21],"previously":[22],"seen":[23],"video":[25,113,209],"and":[26,76,78,146,176,228],"wants":[27],"to":[28,47,55,64,99,134,150,210,234,244],"find":[29],"it":[30,79],"again":[31],"in":[32,90,102,214,240],"large":[34,141],"collection":[35],"using":[36],"text":[38],"description.":[39],"While":[40],"there":[41],"exists":[42],"only":[43],"one":[44],"correct":[45],"answer":[46],"query":[49],"(or":[50],"topic),":[51],"goal":[53],"return":[56],"ranked":[58],"list":[59],"videos":[61,149,213],"most":[62],"likely":[63],"satisfy":[65],"request.":[67],"This":[68,202],"problem":[70],"includes":[71],"content":[72],"from":[73,173,196],"speech,":[74],"visual,":[75],"meta-data,":[77],"not":[81],"clear":[82],"how":[83],"individual":[85,218],"modalities":[86],"should":[87],"be":[88,100],"combined":[89],"final":[92],"result.":[93],"Reranking":[94],"models":[95],"have":[96],"been":[97],"shown":[98],"effective":[101],"problems":[103],"such":[104],"as":[105,225],"image":[106],"search,":[107],"but":[108],"single":[110],"ground":[111,147,207],"truth":[112,148,208,246],"for":[114,120],"topic":[116],"presents":[117],"challenge":[119],"building":[121],"model.":[123],"In":[124],"this":[125],"paper,":[126],"we":[127],"propose":[128],"semi-supervised":[130,203],"rank":[131],"learning":[132,165],"approach":[133,204,233],"We":[138,162,220],"use":[139,229],"training":[142,192],"set":[143,188],"topics":[145],"learn":[151],"pairwise":[153],"ranking":[154],"model":[155,222],"based":[156],"on":[157],"gradient":[158],"boosted":[159],"regression":[160],"trees.":[161],"define":[163],"feature":[166],"space":[167],"that":[168],"consists":[169],"features":[171],"derived":[172],"topics,":[174],"videos,":[175],"topic-video":[177],"dependent":[178],"results.":[179],"To":[180],"overcome":[181],"KIS":[183],"class":[184],"imbalance":[185],"problem,":[186],"pseudo":[190],"positive":[191],"examples":[193],"are":[194],"identified":[195],"each":[197,215],"modalities.":[201,219],"uses":[205],"select":[211],"similar":[212],"then":[221],"similarities":[224],"graph":[227,242],"K-Step":[231],"Markov":[232],"estimate":[235],"importance":[237],"nodes":[239],"relative":[243],"root":[247],"node.":[248]},"counts_by_year":[{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}