{"id":"https://openalex.org/W2757290361","doi":"https://doi.org/10.3233/jifs-17565","title":"Learning search popularity for personalized query completion in information retrieval","display_name":"Learning search popularity for personalized query completion in information retrieval","publication_year":2017,"publication_date":"2017-09-22","ids":{"openalex":"https://openalex.org/W2757290361","doi":"https://doi.org/10.3233/jifs-17565","mag":"2757290361"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-17565","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-17565","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5101854790","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0001-6970-5488"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610493","display_name":"Wanyu Chen","orcid":"https://orcid.org/0000-0003-4470-9655"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyu Chen","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045442647","display_name":"Xinliang Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinliang Ou","raw_affiliation_strings":["Department of Computer Science and Technology, Changsha University, Changsha, China","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Changsha University, Changsha, China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045442647"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":0.3988,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71659419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"4","first_page":"2427","last_page":"2435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9927999973297119,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783722281455994},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.750289797782898},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6919927000999451},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5567267537117004},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4756343364715576},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.46216273307800293},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36274564266204834},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05775836110115051}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783722281455994},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.750289797782898},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6919927000999451},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5567267537117004},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4756343364715576},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.46216273307800293},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36274564266204834},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05775836110115051},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-17565","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-17565","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1540550673","https://openalex.org/W1604792744","https://openalex.org/W1656093959","https://openalex.org/W1984424319","https://openalex.org/W1989234058","https://openalex.org/W1994609971","https://openalex.org/W2018022208","https://openalex.org/W2018917449","https://openalex.org/W2026030496","https://openalex.org/W2027691696","https://openalex.org/W2030960598","https://openalex.org/W2043257601","https://openalex.org/W2047467142","https://openalex.org/W2048456741","https://openalex.org/W2093245971","https://openalex.org/W2093646604","https://openalex.org/W2096163054","https://openalex.org/W2099419573","https://openalex.org/W2153579005","https://openalex.org/W2164986850","https://openalex.org/W2171045163","https://openalex.org/W2171743956","https://openalex.org/W2233657940","https://openalex.org/W2376507230","https://openalex.org/W2410226802","https://openalex.org/W2521870847","https://openalex.org/W2522306626","https://openalex.org/W2604311458","https://openalex.org/W2784879889","https://openalex.org/W2883070021","https://openalex.org/W4205355130","https://openalex.org/W4294170691","https://openalex.org/W6647659834","https://openalex.org/W6657089886","https://openalex.org/W6657649911","https://openalex.org/W6674050576","https://openalex.org/W6674054263"],"related_works":["https://openalex.org/W8514837","https://openalex.org/W11430368","https://openalex.org/W5304494","https://openalex.org/W6263027","https://openalex.org/W10898212","https://openalex.org/W4650528","https://openalex.org/W12655792","https://openalex.org/W13720137","https://openalex.org/W4426496","https://openalex.org/W7302010"],"abstract_inverted_index":{"Query":[0,122],"completion":[1,41],"approaches":[2,84],"assist":[3],"searchers":[4],"in":[5,63,105,110,138,188],"formulating":[6],"queries":[7,48],"with":[8],"few":[9],"keystrokes":[10],"when":[11],"using":[12],"an":[13,102,196],"information":[14,20],"retrieval":[15],"system":[16],"to":[17,49,100,174],"address":[18],"their":[19],"needs,":[21],"which":[22],"help":[23],"users":[24,51,97],"benefit":[25],"from":[26,31],"avoiding":[27],"spelling":[28],"mistakes":[29],"and":[30,96,133,142,166],"producing":[32],"clear":[33],"query":[34,40,61,66,70,104,164],"formulations,":[35],"etc.":[36],"Previous":[37],"work":[38,93],"on":[39,54,86,130],"algorithms":[42],"returns":[43],"a":[44,111,119,149,156,160],"ranked":[45,161],"list":[46,162],"of":[47,60,163,190,200],"the":[50,55,64,69,87,106,128,131,139,143,169,172,182,186,203],"mostly":[52],"based":[53,85],"overall":[56,88],"observed":[57,132],"search":[58,71,89,113,135,176],"popularity":[59,72,90,136],"candidates":[62,170],"whole":[65,140],"logs.":[67],"However,":[68],"could":[73,91],"be":[74],"changed":[75],"over":[76],"time,":[77],"i.e.,":[78,125],"it\u2019s":[79],"time-aware.":[80],"Thus,":[81],"these":[82],"ranking":[83],"not":[92],"very":[94],"well":[95],"may":[98],"fail":[99],"find":[101],"acceptable":[103],"returned":[107],"list,":[108],"resulting":[109],"limited":[112],"satisfaction.":[114],"Hence,":[115],"this":[116,153],"paper":[117,154],"proposes":[118],"Learning-based":[120],"Personalized":[121],"Ranking":[123],"approach,":[124],"LQR,":[126],"where":[127],"features":[129],"predicted":[134],"both":[137],"logs":[141],"recent":[144],"period":[145],"are":[146],"exploited.":[147],"Taking":[148],"pair-wise":[150],"learning":[151],"scenario,":[152],"presents":[155],"method":[157],"for":[158],"generating":[159],"candidates,":[165],"then":[167],"reranks":[168],"by":[171],"similarity":[173],"current":[175],"context.":[177],"The":[178],"experimental":[179],"results":[180],"show":[181],"proposed":[183],"approach":[184],"outperforms":[185],"baseline":[187],"terms":[189],"Mean":[191],"Reciprocal":[192],"Rank":[193],"(MRR),":[194],"reporting":[195],"average":[197],"MRR":[198],"improvement":[199],"7%":[201],"against":[202],"baseline.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}