乐胖代购免代理版

{"id":"https://openalex.org/W2962708057","doi":"https://doi.org/10.1145/3331184.3331378","title":"Effective Online Evaluation for Web Search","display_name":"Effective Online Evaluation for Web Search","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2962708057","doi":"https://doi.org/10.1145/3331184.3331378","mag":"2962708057"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5109286797","display_name":"Alexey Drutsa","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Drutsa","raw_affiliation_strings":["Yandex, Moscow, Russian Fed."],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052767879","display_name":"Gleb Gusev","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Gleb Gusev","raw_affiliation_strings":["Yandex, Moscow, Russian Fed."],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102924622","display_name":"Eugene Kharitonov","orcid":"https://orcid.org/0009-0000-8653-721X"},"institutions":[],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eugene Kharitonov","raw_affiliation_strings":["Facebook AI Research, Paris, France"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057267128","display_name":"Denis Kulemyakin","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Denis Kulemyakin","raw_affiliation_strings":["Yandex, Moscow, Russian Fed."],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069551961","display_name":"Pavel Serdyukov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel Serdyukov","raw_affiliation_strings":["Yandex, Moscow, Russian Fed."],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046325255","display_name":"Igor Yashkov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor Yashkov","raw_affiliation_strings":["Yandex, Moscow, Russian Fed."],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.","institution_ids":["https://openalex.org/I58957048"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.718,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.747082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1399","last_page":"1400"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Management and Reproducibility of Scientific Workflows","score":0.9853,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Management and Reproducibility of Scientific Workflows","score":0.9853,"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"}},{"id":"https://openalex.org/T12535","display_name":"Learning with Noisy Labels in Machine Learning","score":0.9777,"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/T11122","display_name":"Educational Data Mining and Learning Analytics","score":0.9707,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/interleaving","display_name":"Interleaving","score":0.6528045},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical Analysis","score":0.515618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72674745},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.6528045},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.62799263},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6169065},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5845294},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.49826694},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.48450702},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4665057},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.42599976},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.41549468},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3935944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.55,"id":"https://metadata.un.org/sdg/9"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":62,"referenced_works":["https://openalex.org/W1500478607","https://openalex.org/W1896407793","https://openalex.org/W1969184538","https://openalex.org/W1975409939","https://openalex.org/W1975566260","https://openalex.org/W1982530130","https://openalex.org/W2003473029","https://openalex.org/W2007529991","https://openalex.org/W2018022208","https://openalex.org/W2033361400","https://openalex.org/W2038121406","https://openalex.org/W2038135052","https://openalex.org/W2051744369","https://openalex.org/W2069003154","https://openalex.org/W2070815407","https://openalex.org/W2074380434","https://openalex.org/W2075186161","https://openalex.org/W2078681399","https://openalex.org/W2080770071","https://openalex.org/W2090955639","https://openalex.org/W2094790959","https://openalex.org/W2094984792","https://openalex.org/W2104942079","https://openalex.org/W2106576032","https://openalex.org/W2110228583","https://openalex.org/W2112508839","https://openalex.org/W2114968482","https://openalex.org/W2118267850","https://openalex.org/W2126002144","https://openalex.org/W2127052912","https://openalex.org/W2143520694","https://openalex.org/W2149655978","https://openalex.org/W2156541733","https://openalex.org/W2162379844","https://openalex.org/W2163996478","https://openalex.org/W2169068368","https://openalex.org/W2169113736","https://openalex.org/W2218578097","https://openalex.org/W2338665238","https://openalex.org/W2407295445","https://openalex.org/W2409330027","https://openalex.org/W2471222571","https://openalex.org/W2509295096","https://openalex.org/W2509860763","https://openalex.org/W2517816274","https://openalex.org/W2517868792","https://openalex.org/W2530314186","https://openalex.org/W2532610538","https://openalex.org/W2563474873","https://openalex.org/W2584444538","https://openalex.org/W2604305881","https://openalex.org/W2607093266","https://openalex.org/W2740607000","https://openalex.org/W2743673655","https://openalex.org/W2744538883","https://openalex.org/W2783688698","https://openalex.org/W2797563284","https://openalex.org/W2889889057","https://openalex.org/W2909643356","https://openalex.org/W2963366444","https://openalex.org/W3101494195","https://openalex.org/W4298081798"],"related_works":["https://openalex.org/W415847890","https://openalex.org/W2814468324","https://openalex.org/W2463883322","https://openalex.org/W2391789612","https://openalex.org/W2389236462","https://openalex.org/W2389051085","https://openalex.org/W2330343234","https://openalex.org/W2229382548","https://openalex.org/W1901012776","https://openalex.org/W1655266410"],"abstract_inverted_index":{"We":[0,114],"present":[1],"you":[2],"a":[3,6,22],"program":[4],"of":[5,12,18,24,54,74,90,122],"balanced":[7],"mix":[8],"between":[9],"an":[10,75],"overview":[11],"academic":[13],"achievements":[14],"in":[15],"the":[16,32,101],"field":[17],"online":[19,111],"evaluation":[20,56,79],"and":[21,35,63,78,84,97,120,125,134],"portion":[23],"unique":[25],"industrial":[26,70],"practical":[27],"experience":[28],"shared":[29],"by":[30,52],"both":[31],"leading":[33],"researchers":[34,135],"engineers":[36],"from":[37,46],"global":[38],"Internet":[39],"companies.":[40],"First,":[41],"we":[42,67],"give":[43],"basic":[44],"knowledge":[45],"mathematical":[47],"statistics.":[48],"This":[49],"is":[50,93],"followed":[51],"foundations":[53],"main":[55],"methods":[57],"such":[58],"as":[59,128,130],"A/B":[60],"testing,":[61],"interleaving,":[62],"observational":[64],"studies.":[65],"Then,":[66],"share":[68],"rich":[69],"experiences":[71],"on":[72,104],"constructing":[73],"experimentation":[76,112],"pipeline":[77],"metrics":[80],"(emphasizing":[81],"best":[82],"practices":[83],"common":[85],"pitfalls).":[86],"A":[87],"large":[88],"part":[89],"our":[91],"tutorial":[92],"devoted":[94],"to":[95,109,136,139],"modern":[96],"state-of-the-art":[98],"techniques":[99],"(including":[100],"ones":[102],"based":[103],"machine":[105],"learning)":[106],"that":[107],"allow":[108],"conduct":[110],"efficiently.":[113],"invite":[115],"software":[116,126],"engineers,":[117],"designers,":[118],"analysts,":[119],"managers":[121],"web":[123,141],"services":[124],"products,":[127],"well":[129],"beginners,":[131],"advanced":[132],"specialists,":[133],"learn":[137],"how":[138],"make":[140],"service":[142],"development":[143],"effectively":[144],"data-driven.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2962708057","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2024-11-30T14:11:16.265043","created_date":"2019-07-30"}