{"id":"https://openalex.org/W2070996757","doi":"https://doi.org/10.1145/1553374.1553516","title":"Feature hashing for large scale multitask learning","display_name":"Feature hashing for large scale multitask learning","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2070996757","doi":"https://doi.org/10.1145/1553374.1553516","mag":"2070996757"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","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/A5006380227","display_name":"Kilian Q. Weinberger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kilian Weinberger","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061449196","display_name":"Anirban Dasgupta","orcid":"https://orcid.org/0000-0002-8494-3692"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirban Dasgupta","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005003250","display_name":"John Langford","orcid":"https://orcid.org/0000-0002-9811-3550"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Langford","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090351022","display_name":"Alex Smola","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Smola","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064221602","display_name":"Josh Attenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh Attenberg","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006380227"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":27.5555,"has_fulltext":false,"cited_by_count":933,"citation_normalized_percentile":{"value":0.99732914,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1113","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.7716400623321533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5738955140113831},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5514420866966248},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5498131513595581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5191775560379028},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4974851906299591},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.42621082067489624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38309234380722046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3680320978164673},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2642256021499634},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0885622501373291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716400623321533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5738955140113831},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5514420866966248},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5498131513595581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5191775560379028},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4974851906299591},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.42621082067489624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38309234380722046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3680320978164673},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2642256021499634},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0885622501373291},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"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/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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1553374.1553516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1573820523","https://openalex.org/W1605569224","https://openalex.org/W1865797552","https://openalex.org/W2010531033","https://openalex.org/W2037757210","https://openalex.org/W2120354757","https://openalex.org/W2130484710","https://openalex.org/W2144902422","https://openalex.org/W2341535507","https://openalex.org/W2597289420","https://openalex.org/W2990138404","https://openalex.org/W6629956336","https://openalex.org/W6634225129","https://openalex.org/W6678296315","https://openalex.org/W6681302627","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2059244188","https://openalex.org/W2905271011","https://openalex.org/W4211126162","https://openalex.org/W2035647105","https://openalex.org/W3158263601","https://openalex.org/W3087964089","https://openalex.org/W3192025065","https://openalex.org/W2146691237"],"abstract_inverted_index":{"Empirical":[0],"evidence":[1],"suggests":[2],"that":[3,29],"hashing":[4,26],"is":[5,35],"an":[6],"effective":[7],"strategy":[8],"for":[9,24,50],"dimensionality":[10],"reduction":[11],"and":[12,27],"practical":[13],"nonparametric":[14],"estimation.":[15],"In":[16],"this":[17,45],"paper":[18],"we":[19],"provide":[20],"exponential":[21],"tail":[22],"bounds":[23],"feature":[25],"show":[28],"the":[30,42],"interaction":[31],"between":[32],"random":[33],"subspaces":[34],"negligible":[36],"with":[37,47,58],"high":[38],"probability.":[39],"We":[40],"demonstrate":[41],"feasibility":[43],"of":[44,60,62],"approach":[46],"experimental":[48],"results":[49],"a":[51],"new":[52],"use":[53],"case":[54],"---":[55],"multitask":[56],"learning":[57],"hundreds":[59],"thousands":[61],"tasks.":[63]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":60},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":79},{"year":2019,"cited_by_count":78},{"year":2018,"cited_by_count":82},{"year":2017,"cited_by_count":101},{"year":2016,"cited_by_count":69},{"year":2015,"cited_by_count":70},{"year":2014,"cited_by_count":56},{"year":2013,"cited_by_count":57},{"year":2012,"cited_by_count":32}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
