{"id":"https://openalex.org/W2767463349","doi":"https://doi.org/10.1145/3132847.3133049","title":"Learning to Rank with Query-level Semi-supervised Autoencoders","display_name":"Learning to Rank with Query-level Semi-supervised Autoencoders","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767463349","doi":"https://doi.org/10.1145/3132847.3133049","mag":"2767463349"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5062895972","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-5453-978X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Lin","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009178889","display_name":"Yuan Lin","orcid":"https://orcid.org/0000-0001-7452-5270"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Lin","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100737914","display_name":"Kan Xu","orcid":"https://orcid.org/0000-0001-6954-2578"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Xu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062895972"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92901031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2395","last_page":"2398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9955000281333923,"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":0.7254095077514648},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.700225830078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6416423320770264},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5033888220787048},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35243552923202515},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35018783807754517},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.33758753538131714},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3216044008731842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15134575963020325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254095077514648},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.700225830078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416423320770264},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5033888220787048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35243552923202515},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35018783807754517},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.33758753538131714},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3216044008731842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15134575963020325},{"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:10.1145/3132847.3133049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1552767446","https://openalex.org/W1966443646","https://openalex.org/W2007815473","https://openalex.org/W2025768430","https://openalex.org/W2096765209","https://openalex.org/W2108862644","https://openalex.org/W2136189984","https://openalex.org/W2143331230","https://openalex.org/W2149427297","https://openalex.org/W2186845332","https://openalex.org/W2294886667","https://openalex.org/W4231109964","https://openalex.org/W6674201379"],"related_works":["https://openalex.org/W2293317945","https://openalex.org/W828845598","https://openalex.org/W2104465941","https://openalex.org/W1786507113","https://openalex.org/W104148947","https://openalex.org/W2537261539","https://openalex.org/W2041335144","https://openalex.org/W2572315477","https://openalex.org/W2499321295","https://openalex.org/W4283836875"],"abstract_inverted_index":{"Learning":[0],"to":[1,7,57,67,77,113,189],"rank":[2],"utilizes":[3],"machine":[4],"learning":[5,112],"methods":[6],"solve":[8],"ranking":[9,13,31,39,58,130],"problems":[10],"by":[11,34],"constructing":[12],"models":[14,32],"in":[15,97],"a":[16,128,157],"supervised":[17],"way,":[18],"which":[19],"needs":[20],"fixed-length":[21],"feature":[22,80,109],"vectors":[23],"of":[24,75,82,89,122,146,154,172],"documents":[25,155],"as":[26,85],"inputs,":[27],"and":[28,52,136,179],"outputs":[29],"the":[30,37,68,73,79,108,119,133,139,143,152,170,191],"learned":[33,140],"iteratively":[35],"reducing":[36],"pre-defined":[38],"loss.":[40],"The":[41],"document":[42,187],"features":[43,54,63,188],"are":[44],"always":[45],"extracted":[46],"based":[47],"on":[48,132,175],"classic":[49],"textual":[50],"statistics,":[51],"different":[53],"contribute":[55,65],"differently":[56],"performance.":[59,193],"Given":[60],"that":[61,181],"well-defined":[62],"would":[64],"more":[66,165],"retrieval":[69,192],"performance,":[70],"we":[71,115,125,150],"investigate":[72],"usage":[74],"autoencoders":[76],"enrich":[78,107],"representations":[81],"documents.":[83],"Autoencoders,":[84],"basic":[86],"building":[87],"blocks":[88],"deep":[90],"neural":[91],"networks,":[92],"have":[93],"been":[94],"successfully":[95],"used":[96],"many":[98],"text":[99],"mining":[100],"tasks":[101],"for":[102,111,156,163],"generating":[103],"effective":[104,186],"features.":[105,167],"To":[106],"space":[110],"rank,":[114],"introduce":[116],"supervision":[117],"into":[118,142],"loss":[120],"functions":[121],"autoencoders.":[123],"Specifically,":[124],"first":[126],"train":[127],"linear":[129],"model":[131,174,183],"training":[134],"data,":[135],"then":[137],"incorporate":[138],"weights":[141],"reconstruction":[144],"costs":[145,153],"an":[147],"autoencoder.":[148],"Meanwhile,":[149],"accumulate":[151],"given":[158],"query":[159],"with":[160],"query-level":[161],"constraints":[162],"producing":[164],"useful":[166],"We":[168],"evaluate":[169],"effectiveness":[171],"our":[173,182],"three":[176],"LETOR":[177],"datasets,":[178],"show":[180],"can":[184],"generate":[185],"improve":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}