{"id":"https://openalex.org/W1963973267","doi":"https://doi.org/10.1145/2671188.2749358","title":"Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image Retrieval","display_name":"Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image Retrieval","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W1963973267","doi":"https://doi.org/10.1145/2671188.2749358","mag":"1963973267"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on 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/A5100443716","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0002-1901-3077"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lin Chen","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA","Arizona State University , Tempe , AZ , USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364068","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-9690-7026"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China","Alibaba-Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba-Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032615847","display_name":"Baoxin Li","orcid":"https://orcid.org/0000-0002-9294-4572"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA","Arizona State University , Tempe , AZ , USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443716"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.9205,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81687381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"74"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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":0.9937000274658203,"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":0.8495174646377563},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6310855746269226},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6219620704650879},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5705357789993286},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5314119458198547},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49729636311531067},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48414215445518494},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45236465334892273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365882873535156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3965318202972412},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39420801401138306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3860950469970703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35086697340011597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8495174646377563},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6310855746269226},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6219620704650879},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5705357789993286},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5314119458198547},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49729636311531067},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48414215445518494},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45236465334892273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365882873535156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3965318202972412},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39420801401138306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3860950469970703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35086697340011597},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2671188.2749358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1528802670","https://openalex.org/W1566135517","https://openalex.org/W1597421340","https://openalex.org/W1599238028","https://openalex.org/W2015904350","https://openalex.org/W2029079488","https://openalex.org/W2030978506","https://openalex.org/W2033365921","https://openalex.org/W2037560589","https://openalex.org/W2047221353","https://openalex.org/W2062243953","https://openalex.org/W2073380965","https://openalex.org/W2096830573","https://openalex.org/W2097053051","https://openalex.org/W2098411764","https://openalex.org/W2102497689","https://openalex.org/W2120391124","https://openalex.org/W2124105163","https://openalex.org/W2125398996","https://openalex.org/W2134270519","https://openalex.org/W2138790992","https://openalex.org/W2142623206","https://openalex.org/W2143331230","https://openalex.org/W2294130536","https://openalex.org/W2536626143","https://openalex.org/W3143107425","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2140020064","https://openalex.org/W2767338541","https://openalex.org/W2112815677","https://openalex.org/W2606864227","https://openalex.org/W3089328091","https://openalex.org/W3216317163","https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363"],"abstract_inverted_index":{"User-adaptive":[0],"image":[1,73,115],"retrieval/recommendation":[2],"has":[3],"drawn":[4],"a":[5,25,48,53,99],"lot":[6],"of":[7,17,34,40,47,105,135],"research":[8],"interests":[9],"in":[10,166],"recent":[11],"years,":[12],"owing":[13],"to":[14,147],"fast":[15],"development":[16],"various":[18],"Web":[19],"applications":[20],"where":[21],"retrieving":[22],"images":[23],"is":[24,111,145],"key":[26],"enabling":[27],"task.":[28],"Existing":[29],"challenges":[30],"include":[31],"the":[32,38,44,86,96,141,156],"lack":[33],"user-adaptive":[35,72],"training":[36,65,136],"data,":[37],"ambiguity":[39],"user":[41,91],"query":[42],"and":[43,63,117,129],"real-time":[45],"interactivity":[46],"system.":[49],"This":[50],"paper":[51],"proposes":[52],"hybrid":[54],"learning":[55,82,131,143],"strategy":[56],"that":[57,121],"fuses":[58],"knowledge":[59],"from":[60,132],"both":[61],"pointwise":[62],"pairwise":[64],"data":[66,137],"into":[67,98],"one":[68],"framework":[69,97],"for":[70,84],"attribute-based,":[71],"retrieval.":[74],"Under":[75],"this":[76],"framework,":[77],"we":[78,94],"develop":[79],"an":[80],"online":[81,142],"algorithm":[83,144],"updating":[85],"ranking":[87,128],"performance":[88,125,151,165],"based":[89],"on":[90,113],"feedback.":[92],"Furthermore,":[93],"derive":[95],"kernel":[100,106],"form,":[101],"allowing":[102],"easy":[103],"application":[104],"techniques.":[107],"The":[108],"proposed":[109],"approach":[110],"evaluated":[112],"two":[114],"datasets":[116],"experimental":[118],"results":[119],"show":[120],"it":[122],"achieves":[123],"obvious":[124],"gains":[126],"over":[127],"zero-shot":[130],"either":[133],"type":[134],"independently.":[138],"In":[139],"addition,":[140],"able":[146],"deliver":[148],"much":[149,167],"better":[150,164],"than":[152],"batch":[153],"learning,":[154],"given":[155],"same":[157],"elapsed":[158],"running":[159],"time,":[160],"or":[161],"can":[162],"achieve":[163],"less":[168],"time.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}