{"id":"https://openalex.org/W1983576966","doi":"https://doi.org/10.1109/35021bigcomp.2015.7072829","title":"A combination of temporal and general preferences for app recommendation","display_name":"A combination of temporal and general preferences for app recommendation","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W1983576966","doi":"https://doi.org/10.1109/35021bigcomp.2015.7072829","mag":"1983576966"},"language":"en","primary_location":{"id":"doi:10.1109/35021bigcomp.2015.7072829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/35021bigcomp.2015.7072829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Big Data and Smart Computing (BIGCOMP)","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/A5029944713","display_name":"Bo-Ram Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bo-Ram Jang","raw_affiliation_strings":["School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109412091","display_name":"Yunseok Noh","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunseok Noh","raw_affiliation_strings":["School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006452230","display_name":"Sang-Jo Lee","orcid":"https://orcid.org/0000-0002-5080-5240"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Jo Lee","raw_affiliation_strings":["School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042224699","display_name":"Seong-Bae Park","orcid":"https://orcid.org/0000-0002-6453-0348"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Bae Park","raw_affiliation_strings":["School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Comnuter Science and Enaineerinz, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science & Engineering, Kyungpook National University, Daegu 702-701, Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9474,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9511189,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9860000014305115,"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":0.8295184373855591},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7178453207015991},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6622409820556641},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5864261388778687},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5668272376060486},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.5201092958450317},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5066273808479309},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.48683828115463257},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48106861114501953},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4634086787700653},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3492862582206726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3220098614692688},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.31770551204681396},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2995712459087372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2900890111923218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295184373855591},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7178453207015991},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6622409820556641},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5864261388778687},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5668272376060486},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.5201092958450317},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5066273808479309},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.48683828115463257},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48106861114501953},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4634086787700653},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3492862582206726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3220098614692688},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.31770551204681396},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2995712459087372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2900890111923218},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/35021bigcomp.2015.7072829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/35021bigcomp.2015.7072829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Big Data and Smart Computing (BIGCOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W177101540","https://openalex.org/W310231272","https://openalex.org/W1501467116","https://openalex.org/W1560147776","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W1882088395","https://openalex.org/W2003281694","https://openalex.org/W2010486392","https://openalex.org/W2023525859","https://openalex.org/W2039370351","https://openalex.org/W2108630796","https://openalex.org/W2112166834","https://openalex.org/W2128642526","https://openalex.org/W2137268161","https://openalex.org/W2168867823","https://openalex.org/W2171343266","https://openalex.org/W2962499722","https://openalex.org/W4231510805","https://openalex.org/W4234816175","https://openalex.org/W4245605774","https://openalex.org/W6610870981","https://openalex.org/W6639619044","https://openalex.org/W6680194728"],"related_works":["https://openalex.org/W2741711008","https://openalex.org/W4246426965","https://openalex.org/W1991014796","https://openalex.org/W1803586643","https://openalex.org/W2111057027","https://openalex.org/W2394454866","https://openalex.org/W2003915001","https://openalex.org/W2972563636","https://openalex.org/W1485340534","https://openalex.org/W3097319984"],"abstract_inverted_index":{"User":[0],"preferences":[1,60,77],"in":[2,8,50,88,106,293,304],"various":[3],"kinds":[4],"of":[5,14,32,69,75,175,187,202,233,247,252],"recommendations":[6],"are":[7,23,61,137],"general":[9],"made":[10],"from":[11,118,155],"the":[12,18,21,51,73,116,124,134,156,164,167,173,200,205,226,268,278,281,285,299],"contents":[13],"recommending":[15],"targets":[16,22],"or":[17],"patterns":[19],"that":[20,47,58,193,204,270,298],"consumed":[24],"in.":[25],"As":[26,223],"a":[27,29,39,96,151,181,218,224,231,245],"result,":[28,225],"great":[30],"number":[31,201],"previous":[33,52],"works":[34],"have":[35],"focused":[36],"on":[37,54,258],"designing":[38],"good":[40],"user":[41,55,59,76,107,125,146,206],"preference.":[42,108],"However,":[43],"one":[44],"important":[45],"thing":[46],"is":[48,57,68,85,148,192,195,209,230,242,261,302],"missed":[49],"studies":[53],"preference":[56,126,147],"affected":[62],"by":[63,122,216],"time.":[64,128],"That":[65],"is,":[66],"it":[67,194,212,260],"importance":[70],"to":[71,131,139,143,160,163,277,290],"capture":[72],"change":[74],"over":[78,178],"time":[79,162,179],"for":[80,180,255],"better":[81],"recommendations.":[82],"This":[83,295],"phenomenon":[84],"salient":[86],"especially":[87],"using":[89,150],"mobile":[90,176],"apps.":[91],"Therefore,":[92],"this":[93,188],"paper":[94],"presents":[95],"time-based":[97],"personalized":[98],"application":[99,120],"recommendation":[100,111,228],"system":[101,112],"which":[102],"captures":[103],"temporal":[104,169,189,234,273],"changes":[105],"The":[109,184,239],"proposed":[110,168,240,282,300],"can":[113,213],"recommend":[114,132,140],"dynamically":[115],"apps":[117,142,177,203],"an":[119],"market":[121],"considering":[123],"and":[127,145,211,235,267],"In":[129,158],"order":[130,159],"apps,":[133],"app":[135,250,306],"descriptions":[136],"used":[138,208],"new":[141],"users,":[144],"modeled":[149],"probabilistic":[152],"topic":[153,165,170,190,221,237,265,274],"model":[154,171,191,229,266,269],"descriptions.":[157],"incorporate":[161],"model,":[166],"considers":[172],"usage":[174],"specific":[182],"user.":[183],"main":[185],"problem":[186],"not":[196],"well":[197],"trained":[198],"when":[199],"has":[207],"small,":[210],"be":[214],"remedied":[215],"incorporating":[217],"normal":[219],"LDA-based":[220,236,264],"model.":[222,275],"final":[227],"combination":[232],"models.":[238],"method":[241,283,301],"validated":[243],"through":[244],"series":[246],"experiments.":[248],"For":[249],"usages":[251],"three":[253],"users":[254],"35":[256],"days":[257],"average,":[259],"compared":[262],"with":[263],"uses":[271],"only":[272],"According":[276],"experimental":[279],"results,":[280],"outperforms":[284],"two":[286],"baseline":[287],"models":[288],"up":[289],"18%":[291],"point":[292],"nDCG.":[294],"result":[296],"proves":[297],"effective":[303],"content-based":[305],"recommendation.":[307]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}