{"id":"https://openalex.org/W1978830285","doi":"https://doi.org/10.1109/tkde.2015.2426707","title":"Joint Structural Learning to Rank with Deep Linear Feature Learning","display_name":"Joint Structural Learning to Rank with Deep Linear Feature Learning","publication_year":2015,"publication_date":"2015-04-27","ids":{"openalex":"https://openalex.org/W1978830285","doi":"https://doi.org/10.1109/tkde.2015.2426707","mag":"1978830285"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2426707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2426707","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5015894546","display_name":"Xueyi Zhao","orcid":"https://orcid.org/0000-0002-8232-5903"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueyi Zhao","raw_affiliation_strings":["Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["Computer Science Department, Watson School, 13902 SUNY Binghamton, Binghamton, NY","Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Watson School, 13902 SUNY Binghamton, Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015894546"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78486483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":"10","first_page":"2756","last_page":"2769"},"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9940999746322632,"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":0.830345869064331},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7864154577255249},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.687782347202301},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6095892786979675},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6055054068565369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5956735610961914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5940419435501099},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5857309699058533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5340477824211121},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.49057453870773315},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.43147051334381104},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3457293212413788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09736540913581848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830345869064331},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7864154577255249},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.687782347202301},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6095892786979675},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6055054068565369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5956735610961914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940419435501099},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5857309699058533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5340477824211121},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.49057453870773315},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.43147051334381104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3457293212413788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09736540913581848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2015.2426707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2426707","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G4040737285","display_name":null,"funder_award_id":"61472353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8017731688","display_name":null,"funder_award_id":"2012CB316400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W180242331","https://openalex.org/W1552767446","https://openalex.org/W1606936740","https://openalex.org/W1972676228","https://openalex.org/W1985222382","https://openalex.org/W1985755891","https://openalex.org/W2002016907","https://openalex.org/W2008330503","https://openalex.org/W2018398888","https://openalex.org/W2023640363","https://openalex.org/W2025423507","https://openalex.org/W2031248101","https://openalex.org/W2045329095","https://openalex.org/W2047221353","https://openalex.org/W2050826493","https://openalex.org/W2068142860","https://openalex.org/W2068905009","https://openalex.org/W2081264591","https://openalex.org/W2085400714","https://openalex.org/W2085860938","https://openalex.org/W2091158010","https://openalex.org/W2095569536","https://openalex.org/W2100556411","https://openalex.org/W2104819583","https://openalex.org/W2105842272","https://openalex.org/W2108862644","https://openalex.org/W2109722477","https://openalex.org/W2110096996","https://openalex.org/W2122825543","https://openalex.org/W2125398996","https://openalex.org/W2125993116","https://openalex.org/W2127176025","https://openalex.org/W2134789674","https://openalex.org/W2136189984","https://openalex.org/W2139349101","https://openalex.org/W2140634465","https://openalex.org/W2142537246","https://openalex.org/W2143185028","https://openalex.org/W2143331230","https://openalex.org/W2144359569","https://openalex.org/W2156392723","https://openalex.org/W2158139921","https://openalex.org/W2163605009","https://openalex.org/W2167998037","https://openalex.org/W2168894214","https://openalex.org/W2169067830","https://openalex.org/W2173213060","https://openalex.org/W2293078015","https://openalex.org/W2339666411","https://openalex.org/W2618530766","https://openalex.org/W2963606038","https://openalex.org/W4243333943","https://openalex.org/W4285719527","https://openalex.org/W6632992187","https://openalex.org/W6636201897","https://openalex.org/W6655117967","https://openalex.org/W6656245457","https://openalex.org/W6663358622","https://openalex.org/W6670728280","https://openalex.org/W6675783020","https://openalex.org/W6676367512","https://openalex.org/W6680450716","https://openalex.org/W6683338658","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6703697878"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2031468273","https://openalex.org/W2370100764","https://openalex.org/W4385565564","https://openalex.org/W2138488530","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W4378464883","https://openalex.org/W2898073868","https://openalex.org/W2352397247"],"abstract_inverted_index":{"Multimedia":[0],"information":[1,105,207],"retrieval":[2],"usually":[3],"involves":[4],"two":[5,116],"key":[6],"modules":[7],"including":[8],"effective":[9],"feature":[10,75],"representation":[11],"and":[12,27,61,124,179,199],"ranking":[13,64,97,104,152],"model":[14,98],"construction.":[15],"Most":[16],"existing":[17],"approaches":[18],"are":[19,118,130],"incapable":[20],"of":[21,35,57,81,170,201],"well":[22],"modeling":[23],"the":[24,33,36,72,90,102,115,141,157,190,196,202],"inherent":[25],"correlations":[26,143],"interactions":[28],"between":[29],"them,":[30],"resulting":[31],"in":[32,66,85,121,205],"loss":[34],"latent":[37],"consensus":[38],"structure":[39],"information.":[40],"To":[41],"alleviate":[42],"this":[43],"problem,":[44,163],"we":[45,154,181],"propose":[46],"a":[47,55,67,79,86,96,111,161,168,183],"learning":[48,69,76,113,191],"to":[49,78,140,187],"rank":[50],"approach":[51,186,204],"that":[52,99],"simultaneously":[53],"obtains":[54],"set":[56,169],"deep":[58,73],"linear":[59,74],"features":[60],"constructs":[62],"structure-aware":[63],"models":[65],"joint":[68,112],"framework.":[70],"Specifically,":[71],"corresponds":[77],"series":[80],"matrix":[82],"factorization":[83],"tasks":[84],"hierarchical":[87],"manner,":[88],"while":[89],"learning-to-rank":[91,158,174],"part":[92],"concentrates":[93],"on":[94],"building":[95],"effectively":[100],"encodes":[101],"intrinsic":[103,142],"by":[106,133],"structural":[107],"SVM":[108],"learning.":[109],"Through":[110],"mechanism,":[114],"parts":[117],"mutually":[119,171],"reinforced":[120],"our":[122],"approach,":[123],"meanwhile":[125],"their":[126],"underlying":[127],"interaction":[128],"relationships":[129],"implicitly":[131],"reflected":[132],"solving":[134],"an":[135],"alternating":[136],"optimization":[137],"problem.":[138],"Due":[139],"among":[144],"different":[145],"queries":[146,149],"(i.e.,":[147],"similar":[148,151],"for":[150],"lists),":[153],"further":[155],"formulate":[156],"problem":[159],"as":[160],"multi-task":[162],"which":[164],"is":[165],"associated":[166],"with":[167],"related":[172],"query-specific":[173],"subproblems.":[175],"For":[176],"computational":[177],"efficiency":[178],"scalability,":[180],"design":[182],"MapReduce-based":[184],"parallelization":[185],"speed":[188],"up":[189],"processes.":[192],"Experimental":[193],"results":[194],"demonstrate":[195],"efficiency,":[197],"effectiveness,":[198],"scalability":[200],"proposed":[203],"multimedia":[206],"retrieval.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}