{"id":"https://openalex.org/W2040546864","doi":"https://doi.org/10.1145/1060745.1060752","title":"Semantic similarity between search engine queries using temporal correlation","display_name":"Semantic similarity between search engine queries using temporal correlation","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2040546864","doi":"https://doi.org/10.1145/1060745.1060752","mag":"2040546864"},"language":"en","primary_location":{"id":"doi:10.1145/1060745.1060752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1060745.1060752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th international conference on World Wide Web - WWW '05","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5074647313","display_name":"Steve Chien","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Chien","raw_affiliation_strings":["Microsoft Research, Silicon Valley Campus, Mountain View, CA","Microsoft Research Silicon Valley Campus, Mountain View, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Silicon Valley Campus, Mountain View, CA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210086253"]},{"raw_affiliation_string":"Microsoft Research Silicon Valley Campus, Mountain View, CA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009111822","display_name":"Nicole Immorlica","orcid":"https://orcid.org/0000-0003-4180-4657"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicole Immorlica","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA","Massachusetts Institute of Technology, Cambridge, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA,","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9958999752998352,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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":0.7746371030807495},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6873961687088013},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6470907330513},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6325235962867737},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5620967149734497},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5460307002067566},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5311590433120728},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5149381756782532},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47646212577819824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4656435251235962},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.4368930160999298},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4277515113353729},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42231011390686035},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.420137882232666},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.34803467988967896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23523399233818054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15011006593704224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12251543998718262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746371030807495},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6873961687088013},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6470907330513},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6325235962867737},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5620967149734497},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5460307002067566},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5311590433120728},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5149381756782532},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47646212577819824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4656435251235962},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.4368930160999298},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4277515113353729},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42231011390686035},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.420137882232666},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.34803467988967896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23523399233818054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15011006593704224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12251543998718262},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1060745.1060752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1060745.1060752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th international conference on World Wide Web - WWW '05","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.110.3169","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.3169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.northwestern.edu/~nickle/pubs/queryStream.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.4977","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.4977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.www2005.org/cdrom/docs/p2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W205258527","https://openalex.org/W1542636450","https://openalex.org/W1972645849","https://openalex.org/W1973867972","https://openalex.org/W1985123706","https://openalex.org/W1999067777","https://openalex.org/W2057714964","https://openalex.org/W2083654892","https://openalex.org/W2135843591","https://openalex.org/W2147717514","https://openalex.org/W2153958417","https://openalex.org/W2157801087","https://openalex.org/W2167274633","https://openalex.org/W2171161922"],"related_works":["https://openalex.org/W2026738364","https://openalex.org/W2096359267","https://openalex.org/W1997310773","https://openalex.org/W2901901036","https://openalex.org/W2093300859","https://openalex.org/W2124814993","https://openalex.org/W3114052401","https://openalex.org/W2163573236","https://openalex.org/W2533706070","https://openalex.org/W2105258824"],"abstract_inverted_index":{"We":[0,58],"investigate":[1],"the":[2,43,51,72,97,113],"idea":[3],"of":[4,42,46,54,85,94],"finding":[5,96],"semantically":[6,86],"related":[7,25],"search":[8,74],"engine":[9],"queries":[10,23,48,100],"based":[11,49],"on":[12,50,66],"their":[13,27,55],"temporal":[14,44],"correlation;":[15],"in":[16],"other":[17],"words,":[18],"we":[19,36,90],"infer":[20],"that":[21,77],"two":[22,47,67],"are":[24],"if":[26],"popularities":[28],"behave":[29],"similarly":[30],"over":[31],"time.":[32],"To":[33],"this":[34,78],"end,":[35],"first":[37],"define":[38],"a":[39,82,92,102],"new":[40],"measure":[41,65],"correlation":[45,52],"coefficient":[53],"frequency":[56],"functions.":[57],"then":[59],"conduct":[60],"extensive":[61],"experiments":[62],"using":[63,106],"our":[64],"massive":[68],"query":[69,105],"streams":[70],"from":[71],"MSN":[73],"engine,":[75],"revealing":[76],"technique":[79],"can":[80],"discover":[81],"wide":[83],"range":[84],"similar":[87],"queries.":[88],"Finally,":[89],"develop":[91],"method":[93],"efficiently":[95],"highest":[98],"correlated":[99],"for":[101],"given":[103],"input":[104],"far":[107],"less":[108],"space":[109],"and":[110],"time":[111],"than":[112],"naive":[114],"approach,":[115],"making":[116],"real-time":[117],"implementation":[118],"possible.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":13}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
