{"id":"https://openalex.org/W2343289582","doi":"https://doi.org/10.1109/tkde.2016.2535214","title":"Listwise Learning to Rank by Exploring Structure of Objects","display_name":"Listwise Learning to Rank by Exploring Structure of Objects","publication_year":2016,"publication_date":"2016-03-09","ids":{"openalex":"https://openalex.org/W2343289582","doi":"https://doi.org/10.1109/tkde.2016.2535214","mag":"2343289582"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2535214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2535214","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/A5000753987","display_name":"Ou Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ou Wu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045858387","display_name":"You Qiang","orcid":"https://orcid.org/0000-0002-9225-5689"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang You","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083899881","display_name":"Xue Mao","orcid":"https://orcid.org/0009-0009-7625-772X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Mao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100532486","display_name":"Fen Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fen Xia","raw_affiliation_strings":["Big Data Laboratory, Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Big Data Laboratory, Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048791595","display_name":"Fei Yuan","orcid":"https://orcid.org/0000-0001-6979-0029"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yuan","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000753987"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":2.2171,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90592766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"7","first_page":"1934","last_page":"1939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937999844551086,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7735888957977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887729167938232},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5868512392044067},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5781172513961792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5433180928230286},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5315031409263611},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4948241114616394},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47932159900665283},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.43954622745513916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4325115978717804},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4126589000225067},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41083383560180664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3526003062725067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16054227948188782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10173061490058899}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7735888957977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887729167938232},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5868512392044067},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5781172513961792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5433180928230286},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5315031409263611},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4948241114616394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47932159900665283},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.43954622745513916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4325115978717804},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4126589000225067},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41083383560180664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3526003062725067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16054227948188782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10173061490058899},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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.2016.2535214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2535214","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":[],"awards":[{"id":"https://openalex.org/G7812194512","display_name":null,"funder_award_id":"61379098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1965882515","https://openalex.org/W1973435495","https://openalex.org/W1979089718","https://openalex.org/W2001832483","https://openalex.org/W2019863495","https://openalex.org/W2027773397","https://openalex.org/W2029079488","https://openalex.org/W2037077749","https://openalex.org/W2038950446","https://openalex.org/W2051928158","https://openalex.org/W2062112832","https://openalex.org/W2072112759","https://openalex.org/W2078264666","https://openalex.org/W2085005783","https://openalex.org/W2091158010","https://openalex.org/W2096830573","https://openalex.org/W2108862644","https://openalex.org/W2114531539","https://openalex.org/W2117154949","https://openalex.org/W2142537246","https://openalex.org/W2143104527","https://openalex.org/W2148959027","https://openalex.org/W2159973364","https://openalex.org/W2160341176","https://openalex.org/W2160440850","https://openalex.org/W2621615146","https://openalex.org/W4302313152","https://openalex.org/W6677328822","https://openalex.org/W6682204329","https://openalex.org/W6683277684","https://openalex.org/W6683823033","https://openalex.org/W6738988723"],"related_works":["https://openalex.org/W2931602588","https://openalex.org/W2937325523","https://openalex.org/W3160516639","https://openalex.org/W4205377104","https://openalex.org/W149611507","https://openalex.org/W257970033","https://openalex.org/W1994181006","https://openalex.org/W2911102221","https://openalex.org/W4285602503","https://openalex.org/W4281387587"],"abstract_inverted_index":{"Listwise":[0],"learning":[1],"to":[2,16,108,124,141,168,170,198],"rank":[3],"(LTR)":[4],"is":[5,51,139,166,179,195],"aimed":[6],"at":[7],"constructing":[8],"a":[9,28,37,93,121,126,135,171,190],"ranking":[10,96,103,113,128,193,201],"model":[11,97,104,129],"from":[12,130],"listwise":[13,89,131,192,240],"training":[14,24,75,132,157],"data":[15,158,231],"order":[17],"objects.":[18,60,69,117,226],"In":[19,36,86],"most":[20,88],"existing":[21],"studies,":[22],"each":[23],"instance":[25],"consists":[26],"of":[27,30,48,67,73,145,225],"set":[29],"objects":[31,43,50,76,146,155,220],"described":[32],"by":[33],"preference":[34,38,56,79,149,172,208],"features.":[35],"feature":[39,80,150],"space":[40,81,151],"for":[41,58,98,203],"the":[42,46,49,54,59,65,68,71,74,110,143,154,188,205,216,222,235],"in":[44,77,147,156],"training,":[45],"structure":[47,72,144,224],"associated":[52],"with":[53],"absolute":[55],"degrees":[57,62],"The":[61],"significantly":[63],"influence":[64],"ordering":[66],"Nevertheless,":[70],"their":[78,148],"has":[82],"rarely":[83],"been":[84],"studied.":[85],"addition,":[87],"LTR":[90,241],"algorithms":[91],"yield":[92],"single":[94],"linear":[95,200],"all":[99,116,153,204],"objects,":[100],"but":[101],"this":[102],"may":[105],"be":[106],"insufficient":[107],"capture":[109],"underlying":[111],"nonlinear":[112,127],"mechanism":[114],"among":[115,187,219],"This":[118],"study":[119],"proposes":[120],"divide-and-train":[122],"method":[123,213,237],"learn":[125],"data.":[133],"First,":[134],"rank-preserving":[136],"clustering":[137],"approach":[138,194],"used":[140],"infer":[142],"and":[152,174,221],"are":[159],"divided":[160],"into":[161],"several":[162],"clusters.":[163],"Each":[164],"cluster":[165],"assumed":[167],"correspond":[169],"degree":[173],"an":[175],"ordinal":[176],"regression":[177],"function":[178],"then":[180,196],"learned.":[181],"Second,":[182],"considering":[183],"that":[184,234],"relations":[185],"exist":[186],"clusters,":[189],"multi-task":[191],"employed":[197],"train":[199],"functions":[202],"clusters":[206],"(or":[207],"degrees)":[209],"simultaneously.":[210],"Our":[211],"proposed":[212,236],"utilizes":[214],"both":[215],"(relative)":[217],"preferences":[218],"intrinsic":[223],"Experimental":[227],"results":[228],"on":[229],"benchmark":[230],"sets":[232],"suggest":[233],"outperforms":[238],"state-oft-the-art":[239],"algorithms.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
