{"id":"https://openalex.org/W3045881758","doi":"https://doi.org/10.1145/3394486.3403387","title":"Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning","display_name":"Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3045881758","doi":"https://doi.org/10.1145/3394486.3403387","mag":"3045881758"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.14767","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jingbo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129579","display_name":"National Engineering Laboratory of Deep Learning Technology and Application","ror":"https://ror.org/03z8p5796","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129579"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Zhou","raw_affiliation_strings":["Baidu Research & National Engineering Laboratory of Deep Learning Technology and Application, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Research & National Engineering Laboratory of Deep Learning Technology and Application, Beijing, China","institution_ids":["https://openalex.org/I4210129579","https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenwei Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Tang","raw_affiliation_strings":["Baidu Research & Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Research & Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhao","raw_affiliation_strings":["Baidu TPG User Experience Department, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu TPG User Experience Department, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ge","raw_affiliation_strings":["Baidu TPG User Experience Department, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu TPG User Experience Department, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuzhen Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhou","raw_affiliation_strings":["Baidu Research & Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Research & Peking University, Beijing, China","institution_ids":["https://openalex.org/I98301712","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liming Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Zou","raw_affiliation_strings":["Baidu TPG User Experience Department, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu TPG User Experience Department, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenglei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglei Yang","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hui Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3346","last_page":"3355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9839000105857849,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9839000105857849,"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"}},{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9829999804496765,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/user-interface-design","display_name":"User interface design","score":0.7283999919891357},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.6564000248908997},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5891000032424927},{"id":"https://openalex.org/keywords/natural-user-interface","display_name":"Natural user interface","score":0.49140000343322754},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4715999960899353},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.460099995136261},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43950000405311584},{"id":"https://openalex.org/keywords/10-foot-user-interface","display_name":"10-foot user interface","score":0.43540000915527344}],"concepts":[{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.7283999919891357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711899995803833},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6858000159263611},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.6564000248908997},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5891000032424927},{"id":"https://openalex.org/C187482481","wikidata":"https://www.wikidata.org/wiki/Q1851756","display_name":"Natural user interface","level":4,"score":0.49140000343322754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4715999960899353},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C197070257","wikidata":"https://www.wikidata.org/wiki/Q4545902","display_name":"10-foot user interface","level":4,"score":0.43540000915527344},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C130858515","wikidata":"https://www.wikidata.org/wiki/Q3333480","display_name":"Interface metaphor","level":5,"score":0.3752000033855438},{"id":"https://openalex.org/C66153210","wikidata":"https://www.wikidata.org/wiki/Q5597182","display_name":"Graphical user interface testing","level":4,"score":0.36559998989105225},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C161772715","wikidata":"https://www.wikidata.org/wiki/Q1136996","display_name":"User-centered design","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394486.3403387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.14767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.14767","pdf_url":"https://arxiv.org/pdf/2007.14767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.14767","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.14767","pdf_url":"https://arxiv.org/pdf/2007.14767","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1582801283","https://openalex.org/W1965520710","https://openalex.org/W1999478188","https://openalex.org/W2006057946","https://openalex.org/W2008205728","https://openalex.org/W2028273845","https://openalex.org/W2101626488","https://openalex.org/W2153975459","https://openalex.org/W2295598076","https://openalex.org/W2395998745","https://openalex.org/W2401887447","https://openalex.org/W2916286502","https://openalex.org/W2938508218","https://openalex.org/W3006944335"],"related_works":[],"abstract_inverted_index":{"A":[0],"mobile":[1,29,184],"app":[2],"interface":[3,11,19,42,118,150,170],"usually":[4],"consists":[5],"of":[6,9,50,64,76,116,135,168,180],"a":[7,28,53,72,107,121],"set":[8],"user":[10,18,25,41,117,149,169],"modules.":[12,100],"How":[13],"to":[14,23,36,59,89,109,140,144,161],"properly":[15],"design":[16,38,66,77,94,114,137,172],"these":[17],"modules":[20,43,119],"is":[21,57,70,84,178],"vital":[22],"achieving":[24],"satisfaction":[26],"for":[27,40,45],"app.":[30],"However,":[31],"there":[32,69,97],"are":[33,98],"few":[34],"methods":[35],"determine":[37],"variables":[39],"except":[44],"relying":[46],"on":[47,157],"the":[48,61,92,132,142,174,181],"judgment":[49],"designers.":[51],"Usually,":[52],"laborious":[54],"post-processing":[55],"step":[56],"necessary":[58],"verify":[60],"key":[62],"change":[63],"each":[65],"variable.":[67],"Therefore,":[68],"only":[71],"very":[73],"limited":[74],"amount":[75],"solutions":[78,95,115],"that":[79],"can":[80,127],"be":[81],"tested.":[82],"It":[83],"time-consuming":[85],"and":[86,111,146],"almost":[87],"impossible":[88],"figure":[90],"out":[91],"best":[93],"as":[96],"many":[99],"To":[101],"this":[102],"end,":[103],"we":[104],"introduce":[105],"FEELER,":[106],"framework":[108],"fast":[110],"intelligently":[112],"explore":[113],"with":[120],"collective":[122],"machine":[123],"learning":[124],"approach.":[125],"FEELER":[126],"help":[128],"designers":[129,143],"quantitatively":[130],"measure":[131],"preference":[133],"score":[134],"different":[136],"solutions,":[138],"aiming":[139],"facilitate":[141],"conveniently":[145],"quickly":[147],"adjust":[148],"module.":[151],"We":[152],"conducted":[153],"extensive":[154],"experimental":[155],"evaluations":[156],"two":[158],"real-life":[159,166],"datasets":[160],"demonstrate":[162],"its":[163],"applicability":[164],"in":[165,173,186],"cases":[167],"module":[171],"Baidu":[175],"App,":[176],"which":[177],"one":[179],"most":[182],"popular":[183],"apps":[185],"China.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-08-03T00:00:00"}