{"id":"https://openalex.org/W2783114207","doi":"https://doi.org/10.1109/bigdata.2017.8258524","title":"Large scale app recommendation in Ant Financial","display_name":"Large scale app recommendation in Ant Financial","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783114207","doi":"https://doi.org/10.1109/bigdata.2017.8258524","mag":"2783114207"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["AI department, Ant Financial Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI department, Ant Financial Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001741551","display_name":"Xinxing Yang","orcid":"https://orcid.org/0000-0002-1512-2970"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxing Yang","raw_affiliation_strings":["AI department, Ant Financial Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI department, Ant Financial Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116736541","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-3722-5986"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["AI department, Ant Financial Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI department, Ant Financial Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["AI department, Ant Financial Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI department, Ant Financial Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371535","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0001-7493-2650"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["AI department, Ant Financial Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI department, Ant Financial Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090985"],"apc_list":null,"apc_paid":null,"fwci":0.4315,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64482524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4733","last_page":"4735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11478","display_name":"Caching and Content Delivery","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9750999808311462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7760403752326965},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6914322376251221},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.6761642098426819},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6630178689956665},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5896431803703308},{"id":"https://openalex.org/keywords/app-store","display_name":"App store","score":0.49892306327819824},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4948357939720154},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3825245499610901},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3589249551296234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2235390543937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760403752326965},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6914322376251221},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.6761642098426819},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6630178689956665},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5896431803703308},{"id":"https://openalex.org/C2779794324","wikidata":"https://www.wikidata.org/wiki/Q3814081","display_name":"App store","level":2,"score":0.49892306327819824},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4948357939720154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3825245499610901},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3589249551296234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2235390543937683},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2036839989","https://openalex.org/W2046586564","https://openalex.org/W2059851891","https://openalex.org/W2060393849","https://openalex.org/W2063571473","https://openalex.org/W2083842231","https://openalex.org/W2100235918","https://openalex.org/W2108685212","https://openalex.org/W2137245235","https://openalex.org/W2295739661","https://openalex.org/W2745107842","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W3142571737","https://openalex.org/W2937868173","https://openalex.org/W2993306671","https://openalex.org/W2991909615","https://openalex.org/W2518628981","https://openalex.org/W2605395503","https://openalex.org/W2915512527","https://openalex.org/W2016395443","https://openalex.org/W2502529423","https://openalex.org/W2735932444"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,84,88],"number":[2],"of":[3,14,55,57],"mobile":[4],"applications":[5],"(Apps)":[6],"is":[7],"rapidly":[8],"increasing":[9],"due":[10],"to":[11,24,68,78],"different":[12],"kinds":[13],"user":[15],"needs.":[16],"Existing":[17],"App":[18,37],"recommendation":[19,38],"models":[20],"can":[21],"not":[22],"scale":[23,36,93],"practical":[25],"large":[26,35,92],"data":[27],"scenarios.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"present":[33,61],"a":[34,65,74],"framework,":[39],"which":[40],"has":[41],"been":[42],"applied":[43],"into":[44],"real":[45,91],"application":[46],"in":[47,90],"Ant":[48],"Financial":[49],"for":[50,53],"recommending":[51],"Apps":[52],"hundreds":[54],"millions":[56],"users.":[58],"We":[59,81],"first":[60],"feature":[62],"engineering,":[63],"including":[64],"novel":[66],"way":[67],"high-level":[69],"features,":[70],"and":[71],"then":[72],"use":[73],"linear":[75],"ranking":[76],"model":[77],"make":[79],"recommendation.":[80],"also":[82],"report":[83],"encouraging":[85],"results":[86],"through":[87],"experiments":[89],"dataset.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
