{"id":"https://openalex.org/W1979112807","doi":"https://doi.org/10.1145/2433396.2433446","title":"App recommendation","display_name":"App recommendation","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W1979112807","doi":"https://doi.org/10.1145/2433396.2433446","mag":"1979112807"},"language":"en","primary_location":{"id":"doi:10.1145/2433396.2433446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049036241","display_name":"Peifeng Yin","orcid":"https://orcid.org/0000-0002-0109-7903"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peifeng Yin","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA","Pennsylvania State University, State College, PA., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, State College, PA., USA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752685","display_name":"Ping Luo","orcid":"https://orcid.org/0000-0002-6645-4721"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Luo","raw_affiliation_strings":["Hewlett Packard Labs China, Beijing, China","Hewlett-Packard Labs. China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Labs China, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Hewlett-Packard Labs. China, Beijing, China","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091716232","display_name":"Wang-Chien Lee","orcid":"https://orcid.org/0000-0002-8949-489X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang-Chien Lee","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA","Pennsylvania State University, State College, PA., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, State College, PA., USA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101995233","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-3300-7036"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["Hewlett Packard Labs China, Beijing, China","Hewlett-Packard Labs. China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Labs China, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Hewlett-Packard Labs. China, Beijing, China","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0727,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.99020845,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.7992569208145142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718324065208435},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.6917792558670044},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6774348020553589},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6158719062805176},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5864097476005554},{"id":"https://openalex.org/keywords/app-store","display_name":"App store","score":0.5624461770057678},{"id":"https://openalex.org/keywords/smartphone-app","display_name":"Smartphone app","score":0.5424971580505371},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5211984515190125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4408853352069855},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4390289783477783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12895867228507996}],"concepts":[{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.7992569208145142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718324065208435},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.6917792558670044},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6774348020553589},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6158719062805176},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5864097476005554},{"id":"https://openalex.org/C2779794324","wikidata":"https://www.wikidata.org/wiki/Q3814081","display_name":"App store","level":2,"score":0.5624461770057678},{"id":"https://openalex.org/C3017619522","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Smartphone app","level":2,"score":0.5424971580505371},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5211984515190125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4408853352069855},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4390289783477783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12895867228507996},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2433396.2433446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1530276735","https://openalex.org/W1732828232","https://openalex.org/W1833785989","https://openalex.org/W1880262756","https://openalex.org/W1965895350","https://openalex.org/W1976618413","https://openalex.org/W1999856370","https://openalex.org/W2004657139","https://openalex.org/W2012234676","https://openalex.org/W2037913744","https://openalex.org/W2042281163","https://openalex.org/W2042838633","https://openalex.org/W2046586564","https://openalex.org/W2053724458","https://openalex.org/W2054141820","https://openalex.org/W2059512573","https://openalex.org/W2067481044","https://openalex.org/W2085040216","https://openalex.org/W2085937320","https://openalex.org/W2087692915","https://openalex.org/W2106365165","https://openalex.org/W2111094216","https://openalex.org/W2116206254","https://openalex.org/W2122090912","https://openalex.org/W2126026531","https://openalex.org/W2126447809","https://openalex.org/W2127480961","https://openalex.org/W2132922788","https://openalex.org/W2135505871","https://openalex.org/W2137245235","https://openalex.org/W2144487656","https://openalex.org/W2149684865","https://openalex.org/W2150886314","https://openalex.org/W2151464835","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2165395308","https://openalex.org/W2280165275","https://openalex.org/W2548695521","https://openalex.org/W4232980324","https://openalex.org/W6677671969","https://openalex.org/W6684295950","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2890710341","https://openalex.org/W785354139","https://openalex.org/W2938393566","https://openalex.org/W3035615288","https://openalex.org/W3044207086","https://openalex.org/W2493732476","https://openalex.org/W2334668187","https://openalex.org/W184881239","https://openalex.org/W2741784227","https://openalex.org/W2143007544"],"abstract_inverted_index":{"Due":[0],"to":[1,16,40,47,116],"the":[2,29,33,75,108,112,117,120,123,126,135,145,151,157,163,170,182,189],"huge":[3],"and":[4,94,150,178],"still":[5],"rapidly":[6],"growing":[7],"number":[8],"of":[9,78,137],"mobile":[10,79],"applications":[11],"(apps),":[12],"it":[13],"becomes":[14],"necessary":[15],"provide":[17],"users":[18],"an":[19,49,66,90],"app":[20,36,51,80,88,97,114,128,138],"recommendation":[21,27,37,172,184],"service.":[22],"Different":[23],"from":[24],"conventional":[25,171],"item":[26],"where":[28],"user":[30,46,118],"interest":[31],"is":[32,141,186,192],"primary":[34],"factor,":[35],"also":[38],"needs":[39],"consider":[41],"factors":[42,73],"that":[43,70,85,134,162],"invoke":[44],"a":[45,58,95,101,142],"replace":[48],"old":[50],"(if":[52],"she":[53],"already":[54],"has":[55,89,100],"one)":[56],"with":[57,194],"new":[59,96,127],"app.":[60],"In":[61],"this":[62],"work":[63],"we":[64,160],"propose":[65],"Actual-":[67],"Tempting":[68],"model":[69,83,165,191],"captures":[71],"such":[72,174],"in":[74],"decision":[76],"process":[77,136],"adoption.":[81],"The":[82,104],"assumes":[84],"each":[86],"owned":[87,113,146],"actual":[91,148],"satisfactory":[92,110],"value":[93,111,125],"under":[98],"consideration":[99],"tempting":[102,154],"value.":[103,155],"former":[105],"stands":[106],"for":[107],"real":[109],"brings":[115],"while":[119],"latter":[121],"represents":[122],"estimated":[124],"may":[129],"seemingly":[130],"have.":[131],"We":[132],"argue":[133],"adoption":[139],"therefore":[140],"contest":[143],"between":[144],"apps'":[147],"values":[149],"candidate":[152],"app's":[153],"Via":[156],"extensive":[158],"experiments":[159],"show":[161],"AT":[164,190],"performs":[166],"significantly":[167],"better":[168],"than":[169],"techniques":[173],"as":[175],"collaborative":[176],"filtering":[177],"content-based":[179],"recommendation.":[180],"Furthermore,":[181],"best":[183],"performance":[185],"achieved":[187],"when":[188],"combined":[193],"them.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":11}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
