{"id":"https://openalex.org/W2749348708","doi":"https://doi.org/10.1145/3108238","title":"Recommendation in a Changing World","display_name":"Recommendation in a Changing World","publication_year":2017,"publication_date":"2017-08-21","ids":{"openalex":"https://openalex.org/W2749348708","doi":"https://doi.org/10.1145/3108238","mag":"2749348708"},"language":"en","primary_location":{"id":"doi:10.1145/3108238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3108238","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","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/A5026752161","display_name":"Yining Liu","orcid":"https://orcid.org/0000-0002-8779-2906"},"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"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yining Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China","New York University, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604747","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-5872-2231"},"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"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China","New York University, Brooklyn, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"New York University, Brooklyn, NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026378565","display_name":"Yanming Shen","orcid":"https://orcid.org/0000-0003-4108-0230"},"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":"Yanming Shen","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111982109","display_name":"Keqiu Li","orcid":"https://orcid.org/0000-0003-1758-3030"},"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":"Keqiu Li","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9681,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94632965,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9750999808311462,"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/rss","display_name":"RSS","score":0.8788388967514038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8146716356277466},{"id":"https://openalex.org/keywords/interim","display_name":"Interim","score":0.654609739780426},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6128551363945007},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6103336811065674},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5282451510429382},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4965677857398987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4533824026584625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45093804597854614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4239964485168457},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32133999466896057},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15635240077972412}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.8788388967514038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146716356277466},{"id":"https://openalex.org/C2776957806","wikidata":"https://www.wikidata.org/wiki/Q4895105","display_name":"Interim","level":2,"score":0.654609739780426},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6128551363945007},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6103336811065674},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5282451510429382},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4965677857398987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4533824026584625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45093804597854614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4239964485168457},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32133999466896057},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15635240077972412},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3108238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3108238","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1690919088","https://openalex.org/W1880262756","https://openalex.org/W1965667542","https://openalex.org/W1966801777","https://openalex.org/W1977463761","https://openalex.org/W1994389483","https://openalex.org/W2001082470","https://openalex.org/W2004657139","https://openalex.org/W2019207508","https://openalex.org/W2028988057","https://openalex.org/W2035503723","https://openalex.org/W2049455633","https://openalex.org/W2050096199","https://openalex.org/W2051669046","https://openalex.org/W2057763140","https://openalex.org/W2061873838","https://openalex.org/W2072992969","https://openalex.org/W2085040216","https://openalex.org/W2094286023","https://openalex.org/W2119825970","https://openalex.org/W2129294185","https://openalex.org/W2129604374","https://openalex.org/W2135790056","https://openalex.org/W2136891251","https://openalex.org/W2137245235","https://openalex.org/W2142972908","https://openalex.org/W2144211451","https://openalex.org/W2146456494","https://openalex.org/W2169038197","https://openalex.org/W2172249709","https://openalex.org/W2210589396","https://openalex.org/W2239864039","https://openalex.org/W2336689150","https://openalex.org/W2577892893","https://openalex.org/W2916143291"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W1969630132","https://openalex.org/W2374808384","https://openalex.org/W3177075132"],"abstract_inverted_index":{"Users\u2019":[0],"preferences,":[1,65],"and":[2,6,74,103,116,137,144,149,162,239],"consequently":[3],"their":[4,64],"ratings":[5,102],"reviews":[7,56,109],"to":[8,46,70,147],"items,":[9],"change":[10],"over":[11,120],"time.":[12,121],"Likewise,":[13],"characteristics":[14],"of":[15,79,99,194,236],"items":[16],"are":[17],"also":[18,124],"time-varying.":[19],"By":[20,140],"dividing":[21],"data":[22],"into":[23,134],"time":[24,53,132,215,224,234],"periods,":[25],"temporal":[26,36,43,80,88,97,106,158],"Recommender":[27],"Systems":[28],"(RSs)":[29],"improve":[30,76],"recommendation":[31],"accuracy":[32,193],"by":[33,58],"exploring":[34],"the":[35,77,96,127,157,168,190,199,233],"dynamics":[37,98],"in":[38,51,108,130,160,172,213,231],"user":[39,117,161],"rating":[40,49,72,89,114,191],"data.":[41],"However,":[42],"RSs":[44],"have":[45],"cope":[47],"with":[48,91,167],"sparsity":[50,73],"each":[52,131,214],"period.":[54],"Meanwhile,":[55],"generated":[57],"users":[59],"contain":[60],"rich":[61],"information":[62],"about":[63],"which":[66],"can":[67,207,227],"be":[68,228],"exploited":[69],"address":[71],"further":[75],"performance":[78],"RSs.":[81],"In":[82],"this":[83],"article,":[84],"we":[85,154,187],"develop":[86],"a":[87,173],"model":[90,123,196,206],"topics":[92],"that":[93,189],"jointly":[94,155],"mines":[95],"both":[100],"user-item":[101],"reviews.":[104],"Studying":[105],"drifts":[107],"helps":[110],"us":[111],"understand":[112],"item":[113,151,163],"evolutions":[115],"interest":[118],"changes":[119,159],"Our":[122],"automatically":[125,208],"splits":[126],"review":[128,170],"text":[129,171],"period":[133,216],"interim":[135,142,211],"words":[136,143,146,212,221],"intrinsic":[138,145,220],"words.":[139],"linking":[141],"short-term":[148],"long-term":[150],"features,":[152],"respectively,":[153],"mine":[156],"latent":[164],"features":[165],"together":[166],"associated":[169],"single":[174],"learning":[175],"stage.":[176],"Through":[177],"experiments":[178],"on":[179],"28":[180],"real-world":[181],"datasets":[182],"collected":[183],"from":[184],"Amazon":[185],",":[186],"show":[188],"prediction":[192],"our":[195,205],"significantly":[197],"outperforms":[198],"existing":[200],"state-of-art":[201],"RS":[202],"models.":[203],"And":[204],"identify":[209],"representative":[210],"as":[217,219],"well":[218],"across":[222],"all":[223],"periods.":[225],"This":[226],"very":[229],"useful":[230],"understanding":[232],"evolution":[235],"users\u2019":[237],"preferences":[238],"items\u2019":[240],"characteristics.":[241]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}