{"id":"https://openalex.org/W4256462445","doi":"https://doi.org/10.1109/asonam.2016.7752297","title":"App2Vec: Vector modeling of mobile apps and applications","display_name":"App2Vec: Vector modeling of mobile apps and applications","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4256462445","doi":"https://doi.org/10.1109/asonam.2016.7752297"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2016.7752297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752297","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5100625585","display_name":"Qiang Ma","orcid":"https://orcid.org/0000-0001-5791-1890"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Ma","raw_affiliation_strings":["Yahoo! Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Inc","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045502987","display_name":"S. Muthukrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"S. Muthukrishnan","raw_affiliation_strings":["Dept. of Computer Science, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031575299","display_name":"Wil Simpson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wil Simpson","raw_affiliation_strings":["Yahoo! Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Inc","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9966999888420105,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9966999888420105,"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":0.996399998664856,"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/T12238","display_name":"Green IT and Sustainability","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.9467507600784302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8490175604820251},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.8140151500701904},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.5098304152488708},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.49892258644104004},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49182772636413574},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.47250258922576904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45132744312286377},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4195183515548706},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3706079423427582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3336717486381531},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3262561559677124},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.09936541318893433}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9467507600784302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8490175604820251},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.8140151500701904},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5098304152488708},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.49892258644104004},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49182772636413574},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.47250258922576904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45132744312286377},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4195183515548706},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3706079423427582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3336717486381531},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3262561559677124},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.09936541318893433},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2016.7752297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752297","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":19,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1625870857","https://openalex.org/W1888005072","https://openalex.org/W2015057666","https://openalex.org/W2017281925","https://openalex.org/W2052602449","https://openalex.org/W2060204748","https://openalex.org/W2063571473","https://openalex.org/W2073601450","https://openalex.org/W2074694452","https://openalex.org/W2106728444","https://openalex.org/W2108685212","https://openalex.org/W2142534468","https://openalex.org/W2250460709","https://openalex.org/W2251830157","https://openalex.org/W2963285709","https://openalex.org/W4294170691","https://openalex.org/W6636510571","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W3092047717","https://openalex.org/W1560851690","https://openalex.org/W2381242807","https://openalex.org/W3110772647","https://openalex.org/W2770162183","https://openalex.org/W2751208925","https://openalex.org/W4285992209","https://openalex.org/W4367295925","https://openalex.org/W2889701379"],"abstract_inverted_index":{"We":[0,85],"design":[1],"a":[2,45],"way":[3],"to":[4,16,88,143,152],"model":[5],"apps":[6,43,126],"as":[7,44,106],"vectors,":[8],"inspired":[9],"by":[10,67,162],"the":[11,34,49,57,61,68,72,80,122,167],"recent":[12,50],"deep":[13],"learning":[14],"approach":[15,135,142],"vectorization":[17,82],"of":[18,37,74,83,121,175],"words":[19],"called":[20],"word2vec.":[21],"Our":[22],"method":[23],"relies":[24],"on":[25,53],"how":[26,38],"users":[27],"use":[28,150,174],"apps.":[29,76,84],"In":[30],"particular,":[31],"we":[32,149],"visualize":[33],"time":[35,69],"series":[36],"each":[39],"user":[40],"uses":[41],"mobile":[42],"\u201cdocument\u201d,":[46],"and":[47,94,136,146,156,173],"apply":[48,86],"word2vec":[51,107],"modeling":[52],"these":[54],"documents,":[55],"but":[56],"novelty":[58],"is":[59,64,166],"that":[60,98,119],"training":[62,172],"context":[63],"carefully":[65],"weighted":[66],"interval":[70],"between":[71,103],"usage":[73],"successive":[75],"This":[77,165],"gives":[78],"us":[79],"app2vec":[81,99,151],"this":[87],"industrial":[89],"scale":[90,170],"data":[91],"from":[92],"Yahoo!":[93],"(a)":[95],"show":[96,112],"examples":[97],"captures":[100],"semantic":[101],"relationships":[102],"apps,":[104,145],"much":[105],"does":[108],"with":[109],"words,":[110],"(b)":[111],"using":[113],"Yahoo!'s":[114],"extensive":[115],"human":[116],"evaluation":[117],"system":[118],"82%":[120],"retrieved":[123],"top":[124],"similar":[125],"are":[127],"semantically":[128],"relevant,":[129],"achieving":[130],"37%":[131],"lift":[132,138],"over":[133,139],"bag-of-word":[134],"140%":[137],"matrix":[140],"factorization":[141],"vectorizing":[144],"(c)":[147],"finally,":[148],"predict":[153],"app-install":[154],"conversion":[155,159],"improve":[157],"ad":[158],"prediction":[160],"accuracy":[161],"almost":[163],"5%.":[164],"first":[168],"industry":[169],"design,":[171],"app":[176],"vectorization.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}