{"id":"https://openalex.org/W2998007616","doi":"https://doi.org/10.1145/3336191.3371794","title":"Enhancing Re-finding Behavior with External Memories for Personalized Search","display_name":"Enhancing Re-finding Behavior with External Memories for Personalized Search","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2998007616","doi":"https://doi.org/10.1145/3336191.3371794","mag":"2998007616"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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/A5032133163","display_name":"Yujia Zhou","orcid":"https://orcid.org/0000-0002-3530-3787"},"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":"Yujia Zhou","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":"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 & Analysis Methods and Key Laboratory of Data Engineering & Knowledge Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management & Analysis Methods and Key Laboratory of Data Engineering & Knowledge Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032133163"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":6.4057,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96688407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"789","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"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":0.9994000196456909,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9984999895095825,"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":0.9965000152587891,"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":0.8679959774017334},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6714972853660583},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6043704152107239},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5863924026489258},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5675984025001526},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5134599804878235},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4794146716594696},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.443913996219635},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.36589157581329346},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23983809351921082},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08859798312187195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8679959774017334},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6714972853660583},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6043704152107239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5863924026489258},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5675984025001526},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5134599804878235},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4794146716594696},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.443913996219635},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.36589157581329346},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23983809351921082},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08859798312187195},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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":34,"referenced_works":["https://openalex.org/W1546897512","https://openalex.org/W1979809564","https://openalex.org/W1980617223","https://openalex.org/W2023007756","https://openalex.org/W2031962432","https://openalex.org/W2064675550","https://openalex.org/W2089481351","https://openalex.org/W2099768249","https://openalex.org/W2104255729","https://openalex.org/W2105059961","https://openalex.org/W2108279663","https://openalex.org/W2108566279","https://openalex.org/W2109677301","https://openalex.org/W2118286847","https://openalex.org/W2120724560","https://openalex.org/W2126725946","https://openalex.org/W2135500808","https://openalex.org/W2139873966","https://openalex.org/W2143331230","https://openalex.org/W2145413874","https://openalex.org/W2152314154","https://openalex.org/W2158450083","https://openalex.org/W2168717408","https://openalex.org/W2171392812","https://openalex.org/W2171806843","https://openalex.org/W2564434159","https://openalex.org/W2582836203","https://openalex.org/W2648699835","https://openalex.org/W2798385737","https://openalex.org/W2897050313","https://openalex.org/W2955887579","https://openalex.org/W2962756421","https://openalex.org/W2963448850","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W3160516639","https://openalex.org/W2367099342","https://openalex.org/W2389128607","https://openalex.org/W2004195576","https://openalex.org/W2066869521","https://openalex.org/W4226429872","https://openalex.org/W2118819022","https://openalex.org/W2162788252","https://openalex.org/W2383341325","https://openalex.org/W1976319037"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,74,92,147],"personalized":[3,42],"search":[4,43],"is":[5,32,37],"to":[6,12,65,70,88,108,137],"tailor":[7],"the":[8,24,72,96,99,128,135,139,144],"document":[9,100],"ranking":[10],"list":[11],"meet":[13],"user's":[14],"individual":[15],"needs.":[16],"Previous":[17],"studies":[18],"showed":[19],"users":[20],"usually":[21],"look":[22],"for":[23,49],"information":[25],"that":[26],"has":[27],"been":[28],"searched":[29],"before.":[30],"This":[31],"called":[33],"re-finding":[34,51,77,93,111],"behavior":[35,52],"which":[36],"widely":[38],"explored":[39],"in":[40],"existing":[41,47],"approaches.":[44],"However,":[45],"most":[46],"methods":[48],"identifying":[50],"focus":[53],"on":[54,95,127],"simple":[55],"lexical":[56],"similarities":[57],"between":[58],"queries.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,83,118],"propose":[64],"construct":[66],"memory":[67,107,116],"networks":[68],"(MN)":[69],"support":[71],"identification":[73],"more":[75],"complex":[76],"behavior.":[78,112],"Specifically,":[79],"incorporating":[80],"semantic":[81],"information,":[82],"devise":[84],"two":[85],"external":[86],"memories":[87],"make":[89],"an":[90,105],"expansion":[91],"based":[94,126],"query":[97,130],"and":[98,131,133],"respectively.":[101],"We":[102],"further":[103],"design":[104],"intent":[106],"recognize":[109],"session-based":[110],"Endowed":[113],"with":[114,151],"these":[115],"networks,":[117],"can":[119],"build":[120],"a":[121],"fine-grained":[122],"user":[123],"model":[124,136,149],"dynamically":[125],"current":[129],"documents,":[132],"use":[134],"re-rank":[138],"results.":[140],"Experimental":[141],"results":[142],"show":[143],"significant":[145],"improvement":[146],"our":[148],"compared":[150],"traditional":[152],"methods.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}