{"id":"https://openalex.org/W2798697510","doi":"https://doi.org/10.1145/3209978.3210211","title":"Machine Learning @ Amazon","display_name":"Machine Learning @ Amazon","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798697510","doi":"https://doi.org/10.1145/3209978.3210211","mag":"2798697510"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","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":"https://openalex.org/A5111717871","display_name":"Rajeev Rastogi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rajeev Rastogi","raw_affiliation_strings":["Amazon, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Amazon, Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111717871"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56374171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1337","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9945999979972839,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6705648899078369},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6148087382316589},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5952841639518738},{"id":"https://openalex.org/keywords/amazon-rainforest","display_name":"Amazon rainforest","score":0.4624863266944885},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43979787826538086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4140614867210388},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39707961678504944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705648899078369},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6148087382316589},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5952841639518738},{"id":"https://openalex.org/C535291247","wikidata":"https://www.wikidata.org/wiki/Q177567","display_name":"Amazon rainforest","level":2,"score":0.4624863266944885},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43979787826538086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4140614867210388},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39707961678504944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3210211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2749155890","https://openalex.org/W2788493241"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3022229171","https://openalex.org/W2913190967","https://openalex.org/W587719479","https://openalex.org/W3165307885","https://openalex.org/W3097390808","https://openalex.org/W2611724343","https://openalex.org/W4391681741","https://openalex.org/W2602193642","https://openalex.org/W2910384174"],"abstract_inverted_index":{"In":[0],"this":[1],"talk,":[2],"I":[3,38],"will":[4,39],"first":[5],"provide":[6],"an":[7,123,175],"overview":[8],"of":[9,51,58,82,104,112,137,150,163,219],"key":[10],"problem":[11],"areas":[12],"where":[13,46,62,72,87],"we":[14,47,63,73],"are":[15],"applying":[16],"Machine":[17,83],"Learning":[18,84],"techniques":[19,67],"within":[20],"Amazon":[21,86],"such":[22],"as":[23],"product":[24,27,69],"demand":[25],"forecasting,":[26],"search,":[28],"and":[29,34,68,93,108,126,141,143,168,172,183,195,209],"information":[30],"extraction":[31],"from":[32,206,216],"reviews,":[33],"associated":[35],"technical":[36],"challenges.":[37],"then":[40],"talk":[41],"about":[42],"two":[43],"specific":[44],"applications":[45,94],"use":[48,64,74],"a":[49,80,127,210],"variety":[50],"methods":[52],"to":[53],"learn":[54],"semantically":[55],"rich":[56],"representations":[57],"data:":[59],"question":[60],"answering":[61],"deep":[65],"learning":[66],"size":[70],"recommendations":[71],"probabilistic":[75],"models.":[76],"Rajeev":[77,121,200],"Rastogi":[78],"is":[79,89,122,132],"Director":[81,111],"at":[85],"he":[88,100],"developing":[90],"ML":[91],"platforms":[92],"for":[95,178],"the":[96,109,113,135,147,160,164,187,217],"e-commerce":[97],"domain.":[98],"Previously,":[99],"was":[101],"Vice":[102],"President":[103],"Yahoo!":[105],"Labs":[106,115,129],"Bangalore":[107],"founding":[110],"Bell":[114,128],"Research":[116],"Center":[117],"in":[118,134,153,186,213],"Bangalore,":[119],"India.":[120],"ACM":[124,169],"Fellow":[125],"Fellow.":[130],"He":[131,156,189],"active":[133],"fields":[136],"databases,":[138],"data":[139],"mining,":[140],"networking,":[142],"has":[144,173,190],"served":[145],"on":[146,159,181],"program":[148],"committees":[149],"several":[151],"conferences":[152],"these":[154],"areas.":[155],"currently":[157],"serves":[158],"editorial":[161],"boards":[162],"CACM,":[165],"VLDB":[166],"Journal":[167],"Computing":[170],"Surveys,":[171],"been":[174],"Associate":[176],"editor":[177],"IEEE":[179],"Transactions":[180],"Knowledge":[182],"Data":[184],"Engineering":[185],"past.":[188],"published":[191],"over":[192,197],"125":[193],"papers,":[194],"holds":[196],"50":[198],"patents.":[199],"received":[201],"his":[202],"B.":[203],"Tech":[204],"degree":[205,212],"IIT":[207],"Bombay,":[208],"PhD":[211],"Computer":[214],"Science":[215],"University":[218],"Texas,":[220],"Austin.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
