{"id":"https://openalex.org/W2376507230","doi":"https://doi.org/10.1109/tkde.2016.2568179","title":"Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion","display_name":"Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion","publication_year":2016,"publication_date":"2016-05-12","ids":{"openalex":"https://openalex.org/W2376507230","doi":"https://doi.org/10.1109/tkde.2016.2568179","mag":"2376507230"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2568179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2568179","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/A5101854790","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0001-6970-5488"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"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","NL"],"is_corresponding":true,"raw_author_name":"Fei Cai","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["Department of Computer Science, University College London, London, WC1E 6BT, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, WC1E 6BT, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101854790"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":7.0968,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96990339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"2452","last_page":"2466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11478","display_name":"Caching and Content Delivery","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8409107327461243},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7384262084960938},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6281325817108154},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.605431854724884},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.6043596863746643},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5792458653450012},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5381949543952942},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4978151321411133},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.37814420461654663},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32974153757095337},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13445428013801575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08929648995399475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409107327461243},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7384262084960938},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6281325817108154},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.605431854724884},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.6043596863746643},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5792458653450012},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5381949543952942},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4978151321411133},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.37814420461654663},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32974153757095337},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13445428013801575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08929648995399475},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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":3,"locations":[{"id":"doi:10.1109/tkde.2016.2568179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2568179","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"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/fe651d38-17b5-4962-aef4-ca1875183bb0","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/prefixadaptive-and-timesensitive-personalized-query-auto-completion(fe651d38-17b5-4962-aef4-ca1875183bb0).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cai, F, Liang, S & de Rijke, M 2016, 'Prefix-adaptive and time-sensitive personalized query auto completion', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 9, pp. 2452-2466. https://doi.org/10.1109/TKDE.2016.2568179","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/fe651d38-17b5-4962-aef4-ca1875183bb0","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/prefixadaptive-and-timesensitive-personalized-query-auto-completion(fe651d38-17b5-4962-aef4-ca1875183bb0).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cai, F, Liang, S & de Rijke, M 2016, 'Prefix-adaptive and time-sensitive personalized query auto completion', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 9, pp. 2452-2466. https://doi.org/10.1109/TKDE.2016.2568179","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1122843788","display_name":null,"funder_award_id":"SH-322-15","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G2586376837","display_name":null,"funder_award_id":"612.001.551","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G2687059899","display_name":null,"funder_award_id":"nrs 727.011.005","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G283277720","display_name":null,"funder_award_id":"HOR-11-10","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G3943500150","display_name":null,"funder_award_id":"612.001.116","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5993542861","display_name":null,"funder_award_id":"652.002.001","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6064598850","display_name":null,"funder_award_id":"640.006.013","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G7181669453","display_name":null,"funder_award_id":"612.066.930","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G7531945341","display_name":null,"funder_award_id":"61202487","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8543999253","display_name":null,"funder_award_id":"CI-14-25","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320308305","display_name":"Elsevier Foundation","ror":"https://ror.org/02scfj030"},{"id":"https://openalex.org/F4320320934","display_name":"Koninklijke Nederlandse Akademie van Wetenschappen","ror":"https://ror.org/043c0p156"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1515760596","https://openalex.org/W1558296024","https://openalex.org/W1969724596","https://openalex.org/W1982858363","https://openalex.org/W1989234058","https://openalex.org/W1989813731","https://openalex.org/W1994609971","https://openalex.org/W2011374947","https://openalex.org/W2018022208","https://openalex.org/W2018917449","https://openalex.org/W2026030496","https://openalex.org/W2027691696","https://openalex.org/W2030960598","https://openalex.org/W2042373492","https://openalex.org/W2043257601","https://openalex.org/W2045435172","https://openalex.org/W2057034832","https://openalex.org/W2061809273","https://openalex.org/W2080033937","https://openalex.org/W2081828059","https://openalex.org/W2091210285","https://openalex.org/W2093245971","https://openalex.org/W2093646604","https://openalex.org/W2099419573","https://openalex.org/W2118286847","https://openalex.org/W2118395326","https://openalex.org/W2124814993","https://openalex.org/W2126455177","https://openalex.org/W2131329986","https://openalex.org/W2135500808","https://openalex.org/W2162592052","https://openalex.org/W2164986850","https://openalex.org/W2170741935","https://openalex.org/W2171045163","https://openalex.org/W2171743956","https://openalex.org/W2233657940","https://openalex.org/W2293959011","https://openalex.org/W2402674558","https://openalex.org/W2410226802","https://openalex.org/W2461694394","https://openalex.org/W2521870847","https://openalex.org/W4205355130","https://openalex.org/W4206689824","https://openalex.org/W4235637372","https://openalex.org/W4243218899","https://openalex.org/W6633329623","https://openalex.org/W6679458047","https://openalex.org/W6727050962"],"related_works":["https://openalex.org/W2367099342","https://openalex.org/W2533706070","https://openalex.org/W2184474188","https://openalex.org/W3094024929","https://openalex.org/W2547614144","https://openalex.org/W2066869521","https://openalex.org/W2105258824","https://openalex.org/W3210975432","https://openalex.org/W1970380778","https://openalex.org/W2136530748"],"abstract_inverted_index":{"Query":[0],"auto":[1],"completion":[2],"(QAC)":[3],"methods":[4,19,69,78],"recommend":[5],"queries":[6,155],"to":[7,100,111,151],"search":[8,120],"engine":[9],"users":[10],"when":[11],"they":[12,35],"start":[13],"entering":[14],"a":[15,41,87,152],"query.":[16,42],"Current":[17],"QAC":[18,68,89,170],"mostly":[20],"rank":[21,186],"query":[22,44,59,130],"completions":[23,60],"based":[24],"on":[25,30],"their":[26],"past":[27],"popularity,":[28],"i.e.,":[29],"the":[31,56,112,158,190],"number":[32],"of":[33,58,175,183,198],"times":[34],"have":[36,70],"previously":[37],"been":[38,71],"submitted":[39],"as":[40,136],"However,":[43],"popularity":[45,135,139,143],"changes":[46],"over":[47,77],"time":[48],"and":[49,66,95,116,141,161,178,201],"may":[50],"vary":[51],"drastically":[52],"across":[53],"users.":[54],"Accordingly,":[55],"ranking":[57],"should":[61],"be":[62],"adjusted.":[63],"Previous":[64],"time-sensitive":[65,82,94,169],"user-specific":[67],"developed":[72],"separately,":[73],"yielding":[74],"significant":[75],"improvements":[76,174,197],"that":[79,91],"are":[80],"neither":[81],"nor":[83],"personalized.":[84,96],"We":[85,97],"propose":[86],"hybrid":[88],"method":[90,166],"is":[92],"both":[93],"extend":[98],"it":[99],"handle":[101],"long-tail":[102],"prefixes,":[103],"which":[104],"we":[105,123,145],"achieve":[106],"by":[107,133,148],"assigning":[108],"optimal":[109],"weights":[110],"contribution":[113],"from":[114,138],"time-sensitivity":[115],"personalization.":[117],"Using":[118],"real-world":[119],"log":[121],"datasets,":[122],"return":[124],"top":[125],"<inline-formula><tex-math":[126],"notation=\"LaTeX\">":[127],"$N$</tex-math>":[128],"</inline-formula>":[129],"suggestions":[131],"ranked":[132],"predicted":[134],"estimated":[137],"trends":[140],"cyclic":[142],"behavior;":[144],"rerank":[146],"them":[147],"integrating":[149],"similarities":[150],"user's":[153],"previous":[154,163],"(both":[156],"in":[157,162,181],"current":[159],"session":[160],"sessions).":[164],"Our":[165],"outperforms":[167],"state-of-the-art":[168],"baselines,":[171],"achieving":[172],"total":[173],"between":[176,199],"3":[177],"7":[179],"percent":[180],"terms":[182],"mean":[184],"reciprocal":[185],"(MRR).":[187],"After":[188],"optimizing":[189],"weights,":[191],"our":[192],"extended":[193],"model":[194],"achieves":[195],"MRR":[196],"4":[200],"8":[202],"percent.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-16T09:10:04.655348","created_date":"2025-10-10T00:00:00"}