{"id":"https://openalex.org/W2120165387","doi":null,"title":"Predictive Indexing for Fast Search","display_name":"Predictive Indexing for Fast Search","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2120165387","mag":"2120165387"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.7501","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.7501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips21/NIPS2008_0840.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5027036879","display_name":"Sharad Goel","orcid":"https://orcid.org/0000-0002-6103-9318","observed_orcids":["https://orcid.org/0000-0002-6103-9318"]},"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":"Sharad Goel","raw_affiliation_strings":["Yahoo Research, New York, NY,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, NY,","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005003250","display_name":"John C. Langford","orcid":"https://orcid.org/0000-0002-9811-3550","observed_orcids":["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, New York, NY,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, NY,","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085896252","display_name":"Alexander L. Strehl","orcid":null,"observed_orcids":[]},"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 Strehl","raw_affiliation_strings":["Yahoo Research, New York, NY,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, New York, NY,","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":3.5179,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93844482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.7383000254631042,"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":0.7383000254631042,"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/T11269","display_name":"Algorithms and Data Compression","score":0.23729999363422394,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.006599999964237213,"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/anytime-algorithms","display_name":"anytime algorithms","score":0.5889999866485596},{"id":"https://openalex.org/keywords/approximate-nearest-neighbor-search","display_name":"approximate nearest neighbor search","score":0.9459999799728394}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8617465496063232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696645259857178},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7375617027282715},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6217230558395386},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5862246751785278},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5830969214439392},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5386073589324951},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.537614643573761},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45595836639404297},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.43742287158966064},{"id":"https://openalex.org/C53661774","wikidata":"https://www.wikidata.org/wiki/Q13108095","display_name":"Cover tree","level":5,"score":0.43506407737731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34355658292770386},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.1039133071899414},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10087800025939941},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.7501","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.7501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips21/NIPS2008_0840.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.819","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rutgers.edu/~strehl/papers/FastSearch.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.232.6410","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.6410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://messymatters.com/sharad/papers/pred-index.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.894.2713","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.894.2713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://papers.nips.cc/paper/3454-predictive-indexing-for-fast-search.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1517857438","https://openalex.org/W1580597652","https://openalex.org/W1814781403","https://openalex.org/W1834359095","https://openalex.org/W1881355578","https://openalex.org/W1953957925","https://openalex.org/W1965172494","https://openalex.org/W1985986751","https://openalex.org/W2010127424","https://openalex.org/W2069870183","https://openalex.org/W2138662031","https://openalex.org/W2145065594","https://openalex.org/W2154610494","https://openalex.org/W2162006472","https://openalex.org/W2170605888","https://openalex.org/W2208992384","https://openalex.org/W2666600683"],"related_works":["https://openalex.org/W2019424960","https://openalex.org/W3209898743","https://openalex.org/W4253588838","https://openalex.org/W2293071398","https://openalex.org/W7098646837","https://openalex.org/W2611951334","https://openalex.org/W3141389760","https://openalex.org/W2169744112","https://openalex.org/W1990406921","https://openalex.org/W2044062809"],"abstract_inverted_index":{"We":[0,84],"tackle":[1],"the":[2,35,52],"computational":[3],"problem":[4],"of":[5,25,34,51],"query-conditioned":[6],"search.":[7,69],"Given":[8],"a":[9,14,19],"machine-learned":[10],"scoring":[11],"rule":[12],"and":[13,65,95],"query":[15],"distribution,":[16],"we":[17],"build":[18],"predictive":[20,41],"in-dex":[21],"by":[22],"precomputing":[23],"lists":[24],"potential":[26],"results":[27],"sorted":[28],"based":[29],"on":[30],"an":[31,45],"expected":[32],"score":[33],"result":[36],"over":[37,89],"future":[38],"queries.":[39],"The":[40,55],"index":[42],"datastructure":[43],"supports":[44],"anytime":[46],"algorithm":[47],"for":[48,92],"approximate":[49,66,96],"retrieval":[50],"top":[53],"elements.":[54],"general":[56],"ap-proach":[57],"is":[58,71],"applicable":[59],"to":[60],"webpage":[61],"ranking,":[62],"internet":[63,93],"advertisement,":[64],"nearest":[67,97],"neighbor":[68],"It":[70],"particularly":[72],"effective":[73],"in":[74],"settings":[75],"where":[76],"standard":[77],"tech-niques":[78],"(e.g.,":[79],"inverted":[80],"indices)":[81],"are":[82],"intractable.":[83],"experimentally":[85],"find":[86],"substantial":[87],"improvement":[88],"existing":[90],"methods":[91],"advertisement":[94],"neighbors.":[98],"1":[99]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}