{"id":"https://openalex.org/W3093709503","doi":"https://doi.org/10.1145/3340531.3411877","title":"PSTIE: Time Information Enhanced Personalized Search","display_name":"PSTIE: Time Information Enhanced Personalized Search","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093709503","doi":"https://doi.org/10.1145/3340531.3411877","mag":"3093709503"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3411877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & 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/A5026098526","display_name":"Zhengyi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengyi Ma","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063071306","display_name":"Guanyue Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyue Bian","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Management and Analysis Methods& Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods& Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026098526"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":4.8043,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95609786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1075","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","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/T10203","display_name":"Recommender Systems and Techniques","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/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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8717533946037292},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.713590681552887},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.698734700679779},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6573131084442139},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5735167860984802},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.46110185980796814},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4548121988773346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40842121839523315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3007620573043823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8717533946037292},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.713590681552887},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.698734700679779},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6573131084442139},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5735167860984802},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.46110185980796814},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4548121988773346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40842121839523315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3007620573043823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3411877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1979809564","https://openalex.org/W1980617223","https://openalex.org/W1982858363","https://openalex.org/W2026169687","https://openalex.org/W2064675550","https://openalex.org/W2082718666","https://openalex.org/W2089481351","https://openalex.org/W2099768249","https://openalex.org/W2105059961","https://openalex.org/W2108279663","https://openalex.org/W2118286847","https://openalex.org/W2131876387","https://openalex.org/W2135500808","https://openalex.org/W2136189984","https://openalex.org/W2143331230","https://openalex.org/W2145413874","https://openalex.org/W2152314154","https://openalex.org/W2168717408","https://openalex.org/W2171806843","https://openalex.org/W2250539671","https://openalex.org/W2265289447","https://openalex.org/W2475334473","https://openalex.org/W2564434159","https://openalex.org/W2582836203","https://openalex.org/W2594223320","https://openalex.org/W2648699835","https://openalex.org/W2739805805","https://openalex.org/W2774514250","https://openalex.org/W2783640434","https://openalex.org/W2786171444","https://openalex.org/W2897050313","https://openalex.org/W2899609768","https://openalex.org/W2905432015","https://openalex.org/W2912746631","https://openalex.org/W2954765895","https://openalex.org/W2955887579","https://openalex.org/W2962770891","https://openalex.org/W2962817261","https://openalex.org/W2963053846","https://openalex.org/W2998007616","https://openalex.org/W3012886296","https://openalex.org/W3122775348"],"related_works":["https://openalex.org/W2367099342","https://openalex.org/W2389128607","https://openalex.org/W2004195576","https://openalex.org/W2066869521","https://openalex.org/W4226429872","https://openalex.org/W2383341325","https://openalex.org/W2118819022","https://openalex.org/W1976319037","https://openalex.org/W2349210373","https://openalex.org/W2103052078"],"abstract_inverted_index":{"Personalized":[0,116],"search":[1,6,29],"aims":[2],"to":[3,62,108,152,162],"improve":[4,180],"the":[5,10,24,45,55,64,75,86,120,132,147,154,164,181],"quality":[7,183],"by":[8,31],"re-ranking":[9],"candidate":[11],"document":[12,70],"list":[13],"based":[14],"on":[15,22,172],"user's":[16,28],"historical":[17],"behavior.":[18],"Existing":[19],"approaches":[20],"focus":[21],"modeling":[23,131],"order":[25],"information":[26,48],"of":[27,66,72,123,136,150],"history":[30],"sequential":[32],"methods":[33,42,161],"such":[34],"as":[35],"Recurrent":[36],"Neural":[37],"Network":[38],"(RNN).":[39],"However,":[40],"these":[41],"usually":[43],"ignore":[44],"fine-grained":[46,103],"time":[47,56,76,144],"associated":[49],"with":[50],"user":[51,112,156,166],"actions.":[52],"In":[53,96],"fact,":[54],"intervals":[57,77],"between":[58,78],"queries":[59],"can":[60,84,178],"help":[61],"capture":[63,119,153],"evolution":[65,135],"query":[67,83],"intent":[68],"and":[69,81],"interest":[71,113,122,134,167],"users.":[73],"Besides,":[74],"past":[79],"actions":[80],"current":[82],"reflect":[85],"re-finding":[87,148],"tendency":[88],"more":[89,110],"accurately":[90],"than":[91],"discrete":[92],"steps":[93],"in":[94,138,145],"RNN.":[95],"this":[97],"paper,":[98],"we":[99,125],"propose":[100,159],"PSTIE,":[101],"a":[102],"Time":[104],"Information":[105],"Enhanced":[106],"model":[107],"construct":[109],"accurate":[111],"representations":[114],"for":[115,130],"Search.":[117],"To":[118],"short-term":[121],"users,":[124],"design":[126],"time-aware":[127],"LSTM":[128],"architectures":[129],"subtle":[133],"users":[137,151],"continuous":[139],"time.":[140],"We":[141,158],"further":[142],"leverage":[143],"calculating":[146],"possibility":[149],"long-term":[155],"interest.":[157],"two":[160,173],"utilize":[163],"time-enhanced":[165],"into":[168],"personalized":[169],"ranking.":[170],"Experiments":[171],"datasets":[174],"show":[175],"that":[176],"PSTIE":[177],"effectively":[179],"ranking":[182],"over":[184],"state-of-the-art":[185],"models.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}