{"id":"https://openalex.org/W2515263242","doi":"https://doi.org/10.1145/2959100.2959118","title":"News Recommendations at scale at Bloomberg Media","display_name":"News Recommendations at scale at Bloomberg Media","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2515263242","doi":"https://doi.org/10.1145/2959100.2959118","mag":"2515263242"},"language":"en","primary_location":{"id":"doi:10.1145/2959100.2959118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","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":null,"display_name":"Dhaval Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dhaval Shah","raw_affiliation_strings":["Bloomberg LP, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Bloomberg LP, New York, NY, USA","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046818475","display_name":"Pramod Koneru","orcid":null},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod Koneru","raw_affiliation_strings":["Bloomberg LP, NewYork, NY, USA"],"affiliations":[{"raw_affiliation_string":"Bloomberg LP, NewYork, NY, USA","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016202466","display_name":"Parth Shah","orcid":"https://orcid.org/0000-0002-2562-0578"},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parth Shah","raw_affiliation_strings":["Bloomberg LP, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Bloomberg LP, New York, NY, USA","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012343523","display_name":"Rohit Parimi","orcid":null},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Parimi","raw_affiliation_strings":["Bloomberg LP, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Bloomberg LP, New York, NY, USA","institution_ids":["https://openalex.org/I1299907687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1299907687"],"apc_list":null,"apc_paid":null,"fwci":0.6906,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80090263,"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":"369","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9617999792098999,"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":0.9617999792098999,"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/T11106","display_name":"Data Management and Algorithms","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.940500020980835,"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/consumption","display_name":"Consumption (sociology)","score":0.6286298036575317},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5644848942756653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5450785756111145},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5272364020347595},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5193741917610168},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.48552703857421875},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41756370663642883},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.381431519985199},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3672545552253723},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3380700945854187},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12487128376960754},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.10072782635688782}],"concepts":[{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.6286298036575317},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5644848942756653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5450785756111145},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5272364020347595},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5193741917610168},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.48552703857421875},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41756370663642883},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.381431519985199},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3672545552253723},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3380700945854187},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12487128376960754},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10072782635688782},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2959100.2959118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","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":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W2531295127","https://openalex.org/W3186538219"],"abstract_inverted_index":{"In":[0,260],"the":[1,15,33,42,98,111,115,131,135,139,152,160,173,179,221,233,254,258,267],"past":[2],"decade,":[3],"news":[4,21,43,161,216,275],"consumption":[5,22,121],"through":[6],"traditional":[7],"channels":[8],"such":[9,80],"as":[10,117,119],"print":[11],"has":[12,23,36,154],"been":[13,24],"on":[14,49,68,204],"decline":[16],"while":[17],"online":[18],"and":[19,44,55,59,71,100,149,172,217,227,230,276],"digital":[20],"steadily":[25],"growing.":[26],"Bloomberg,":[27],"renowned":[28],"for":[29,91],"its":[30],"products":[31],"in":[32,41,97,130,193,232,241],"financial":[34],"world,":[35],"a":[37,81,92,104,155,168,194,281],"very":[38,85],"strong":[39],"presence":[40],"media":[45],"industry.":[46],"Bloomberg":[47],"Media,":[48],"an":[50],"average,":[51],"publishes":[52],"400-500":[53],"stories":[54],"videos":[56,231],"per":[57],"day":[58,222],"we":[60,262],"have":[61],"close":[62],"to":[63,87,110,165,189,244,251,253,264],"30":[64],"million":[65],"unique":[66,105,120],"visitors":[67],"our":[69,198],"websites":[70],"mobile":[72],"applications":[73],"every":[74,146],"month":[75],"consuming":[76],"this":[77],"content.":[78],"At":[79],"scale":[82],"it":[83,187],"is":[84,134,144,162,176,214],"important":[86,188],"recommend":[88],"relevant":[89,164,191],"information":[90],"good":[93],"user":[94],"experience.":[95],"Recommendations":[96],"News":[99,132],"Media":[101],"domain":[102,133,140],"bring":[103],"set":[106],"of":[107,114,138,151,178,181,206,257,273],"challenges":[108],"due":[109],"dynamic":[112,136],"nature":[113,137],"data":[116,219],"well":[118],"patterns.":[122],"The":[123],"biggest":[124],"challenge":[125],"with":[126,238],"building":[127],"recommendation":[128],"systems":[129],"itself;":[141],"new":[142],"content":[143,153,192,201],"published":[145],"few":[147],"minutes":[148],"majority":[150],"short":[156],"shelf":[157],"life,":[158],"i.e.,":[159],"not":[163,278],"users":[166,199,211,268],"after":[167],"certain":[169],"time":[170,174,205],"span":[171,175],"generally":[177],"order":[180],"hours":[182],"rather":[183],"than":[184],"days,":[185],"making":[186],"deliver":[190],"timely":[195],"manner.":[196],"Moreover,":[197],"consume":[200,223],"differently":[202],"based":[203],"day.":[207],"For":[208],"example,":[209],"some":[210],"whose":[212],"focus":[213],"market":[215,218],"during":[220],"more":[224],"long":[225],"form":[226],"generic":[228],"articles":[229],"evening.":[234],"User":[235],"preferences,":[236],"along":[237],"being":[239],"cyclical":[240],"nature,":[242],"tend":[243],"change":[245],"over":[246],"time,":[247],"so":[248],"algorithms":[249],"need":[250,263],"adapt":[252],"changing":[255],"taste":[256],"user.":[259],"addition,":[261],"ensure":[265],"that":[266],"do":[269],"get":[270],"their":[271],"share":[272],"important/trending":[274],"are":[277],"put":[279],"into":[280],"filter":[282],"bubble.":[283]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
