{"id":"https://openalex.org/W2118887818","doi":"https://doi.org/10.1145/2736277.2741105","title":"An Optimization Framework for Weighting Implicit Relevance Labels for Personalized Web Search","display_name":"An Optimization Framework for Weighting Implicit Relevance Labels for Personalized Web Search","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W2118887818","doi":"https://doi.org/10.1145/2736277.2741105","mag":"2118887818"},"language":"en","primary_location":{"id":"doi:10.1145/2736277.2741105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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/A5060495639","display_name":"Yury Ustinovskiy","orcid":"https://orcid.org/0000-0002-2510-4098"},"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":true,"raw_author_name":"Yury Ustinovskiy","raw_affiliation_strings":["Yandex, Moscow, Russian Fed","Yandex, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052767879","display_name":"Gleb Gusev","orcid":"https://orcid.org/0009-0003-7298-1848"},"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","Yandex, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"last","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","Yandex, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060495639"],"corresponding_institution_ids":["https://openalex.org/I58957048"],"apc_list":null,"apc_paid":null,"fwci":6.5871,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96508875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1144","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991000294685364,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991000294685364,"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":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/relevance","display_name":"Relevance (law)","score":0.8137452602386475},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8021936416625977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7841825485229492},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7153459191322327},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.7044647932052612},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6953808665275574},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5890281200408936},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5580212473869324},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4966328740119934},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4190790355205536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23605984449386597},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.08544796705245972}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8137452602386475},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8021936416625977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841825485229492},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7153459191322327},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.7044647932052612},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6953808665275574},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5890281200408936},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5580212473869324},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4966328740119934},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4190790355205536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23605984449386597},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.08544796705245972},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2736277.2741105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.695.2249","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.2249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.www2015.it/documents/proceedings/proceedings/p1144.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1968541091","https://openalex.org/W2011285051","https://openalex.org/W2047221353","https://openalex.org/W2058115154","https://openalex.org/W2059001985","https://openalex.org/W2062918108","https://openalex.org/W2070493638","https://openalex.org/W2079075606","https://openalex.org/W2094790959","https://openalex.org/W2095627566","https://openalex.org/W2101629433","https://openalex.org/W2104677329","https://openalex.org/W2105981469","https://openalex.org/W2108279663","https://openalex.org/W2120660108","https://openalex.org/W2125682643","https://openalex.org/W2125771191","https://openalex.org/W2127799072","https://openalex.org/W2135500808","https://openalex.org/W2139450192","https://openalex.org/W2159545104","https://openalex.org/W2165806612","https://openalex.org/W2168717408","https://openalex.org/W2171392812","https://openalex.org/W2171749496","https://openalex.org/W2467077495"],"related_works":["https://openalex.org/W1986056603","https://openalex.org/W2167726669","https://openalex.org/W2389128607","https://openalex.org/W4379381520","https://openalex.org/W2004195576","https://openalex.org/W2066869521","https://openalex.org/W4226429872","https://openalex.org/W2035739021","https://openalex.org/W2383341325","https://openalex.org/W2118819022"],"abstract_inverted_index":{"Implicit":[0],"feedback":[1],"from":[2,18],"users":[3],"of":[4,22,50],"a":[5,34,64,80],"web":[6],"search":[7,29],"engine":[8],"is":[9],"an":[10],"essential":[11],"source":[12,32],"providing":[13],"consistent":[14],"personal":[15],"relevance":[16,76],"labels":[17,77],"the":[19,48,51,55,73],"actual":[20],"population":[21],"users.":[23],"However,":[24],"previous":[25],"studies":[26],"on":[27,43],"personalized":[28,82],"employ":[30],"this":[31],"in":[33,61],"rather":[35],"straightforward":[36],"manner.":[37],"Basically,":[38],"documents":[39,52],"that":[40],"were":[41],"clicked":[42],"get":[44],"maximal":[45],"gain,":[46],"and":[47],"rest":[49],"are":[53],"assigned":[54],"zero":[56],"gain.":[57],"As":[58],"we":[59],"demonstrate":[60],"our":[62],"paper,":[63],"ranking":[65],"algorithm":[66],"trained":[67],"using":[68],"these":[69],"gains":[70],"directly":[71],"as":[72],"ground":[74],"truth":[75],"leads":[78],"to":[79],"suboptimal":[81],"ranking.":[83]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
