{"id":"https://openalex.org/W2057081157","doi":"https://doi.org/10.1145/2396761.2396789","title":"Content-based crowd retrieval on the real-time web","display_name":"Content-based crowd retrieval on the real-time web","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2057081157","doi":"https://doi.org/10.1145/2396761.2396789","mag":"2057081157"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2396789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5114488878","display_name":"Krishna Kamath","orcid":"https://orcid.org/0009-0009-8414-5074"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Krishna Y. Kamath","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&amp;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114488878"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.0638,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78666795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.996999979019165,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.9153865575790405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8177942633628845},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5501556396484375},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5154548287391663},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.505158007144928},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.4662887752056122},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.46254464983940125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.45674553513526917},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.45661941170692444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4449900984764099},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4286537766456604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4240271747112274},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.3306577801704407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2896447777748108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2216927409172058},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.1845686435699463},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12277165055274963}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.9153865575790405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177942633628845},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5501556396484375},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5154548287391663},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.505158007144928},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.4662887752056122},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.46254464983940125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.45674553513526917},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.45661941170692444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4449900984764099},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4286537766456604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4240271747112274},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.3306577801704407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2896447777748108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2216927409172058},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.1845686435699463},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12277165055274963},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2396789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W33276683","https://openalex.org/W1502916507","https://openalex.org/W1532325895","https://openalex.org/W1580477182","https://openalex.org/W1601068082","https://openalex.org/W1826290430","https://openalex.org/W1880262756","https://openalex.org/W1980595271","https://openalex.org/W1993808777","https://openalex.org/W1996764654","https://openalex.org/W2012833704","https://openalex.org/W2046011722","https://openalex.org/W2056797132","https://openalex.org/W2070134328","https://openalex.org/W2071416419","https://openalex.org/W2089458547","https://openalex.org/W2092957858","https://openalex.org/W2098620296","https://openalex.org/W2102177432","https://openalex.org/W2106435568","https://openalex.org/W2112896229","https://openalex.org/W2122056984","https://openalex.org/W2124499489","https://openalex.org/W2127362089","https://openalex.org/W2140427797","https://openalex.org/W2147717514","https://openalex.org/W2150015221","https://openalex.org/W2170936641","https://openalex.org/W4211099384","https://openalex.org/W4241122026","https://openalex.org/W6700624618"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2000601968","https://openalex.org/W2144265691","https://openalex.org/W2033383639","https://openalex.org/W3108918257","https://openalex.org/W3016124764"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,105,135],"propose":[4],"and":[5,34,76,80,120,144],"evaluate":[6],"a":[7,36,116,121],"novel":[8],"content-driven":[9],"crowd":[10,87,110],"discovery":[11,111],"algorithm":[12,49],"that":[13,86,137],"can":[14,89],"efficiently":[15],"identify":[16],"newly-formed":[17],"communities":[18],"of":[19,31,43,47,97,151],"users":[20],"from":[21,61],"the":[22,28,44,48,93,98],"real-time":[23,29,99],"web.":[24,100],"Short-lived":[25],"crowds":[26,60,127,139,150],"reflect":[27],"interests":[30],"their":[32],"constituents":[33],"provide":[35],"foundation":[37],"for":[38,58,71],"user-focused":[39],"web":[40],"monitoring.":[41],"Three":[42],"salient":[45],"features":[46],"are":[50],"its:":[51],"(i)":[52],"prefix-tree":[53],"based":[54],"locality-sensitive":[55],"hashing":[56],"approach":[57,119],"discovering":[59],"high-volume":[62],"rapidly-evolving":[63],"social":[64],"media;":[65],"(ii)":[66],"efficient":[67,109],"user":[68,74],"profile":[69],"updating":[70],"incorporating":[72],"new":[73],"activities":[75],"fading":[77],"older":[78],"ones;":[79],"(iii)":[81],"key":[82],"dimension":[83],"identification,":[84],"so":[85],"detection":[88],"be":[90,142],"focused":[91],"on":[92],"most":[94],"active":[95],"portions":[96],"Through":[101],"extensive":[102],"experimental":[103],"study,":[104],"find":[106,136],"significantly":[107],"more":[108],"as":[112,128],"compared":[113,129],"to":[114,130,141,149],"both":[115],"k-means":[117],"clustering-based":[118],"MapReduce-based":[122],"implementation,":[123],"while":[124],"maintaining":[125],"high-quality":[126],"an":[131],"offline":[132],"approach.":[133],"Additionally,":[134],"expert":[138],"tend":[140],"\"stickier\"":[143],"last":[145],"longer":[146],"in":[147],"comparison":[148],"typical":[152],"users.":[153]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
