{"id":"https://openalex.org/W2088162362","doi":"https://doi.org/10.1145/2556195.2556214","title":"Search engine click spam detection based on bipartite graph propagation","display_name":"Search engine click spam detection based on bipartite graph propagation","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W2088162362","doi":"https://doi.org/10.1145/2556195.2556214","mag":"2088162362"},"language":"en","primary_location":{"id":"doi:10.1145/2556195.2556214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","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/A5100353780","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-0041-3134"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402996","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-3158-1920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668121","display_name":"Yiqun Liu","orcid":"https://orcid.org/0000-0002-0140-4512"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760812","display_name":"Shaoping Ma","orcid":"https://orcid.org/0000-0002-8762-8268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Ma","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100917940","display_name":"Yijiang Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijiang Jin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009292561","display_name":"Liyun Ru","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyun Ru","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100353780"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.64861897,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95810318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"93","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7887296080589294},{"id":"https://openalex.org/keywords/cheating","display_name":"Cheating","score":0.6976481080055237},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6643831729888916},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6466652750968933},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5853833556175232},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47085851430892944},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4462048411369324},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28512173891067505},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24634382128715515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887296080589294},{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.6976481080055237},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6643831729888916},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6466652750968933},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5853833556175232},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47085851430892944},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4462048411369324},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28512173891067505},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24634382128715515},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2556195.2556214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1538449501","https://openalex.org/W1551705282","https://openalex.org/W1584003909","https://openalex.org/W1676985236","https://openalex.org/W1775772884","https://openalex.org/W1845137714","https://openalex.org/W1854214752","https://openalex.org/W1990800901","https://openalex.org/W1992122376","https://openalex.org/W1992549066","https://openalex.org/W2031788415","https://openalex.org/W2047221353","https://openalex.org/W2054119298","https://openalex.org/W2069870183","https://openalex.org/W2099213975","https://openalex.org/W2106630408","https://openalex.org/W2106755564","https://openalex.org/W2107428549","https://openalex.org/W2122505515","https://openalex.org/W2125771191","https://openalex.org/W2147694185","https://openalex.org/W2158454296","https://openalex.org/W2168196587","https://openalex.org/W2168479832","https://openalex.org/W2295170818","https://openalex.org/W2350778671","https://openalex.org/W4235754470","https://openalex.org/W4254829975"],"related_works":["https://openalex.org/W2012288173","https://openalex.org/W1968538666","https://openalex.org/W2097662580","https://openalex.org/W3199302685","https://openalex.org/W2344072770","https://openalex.org/W2389163612","https://openalex.org/W2365256465","https://openalex.org/W2363831685","https://openalex.org/W4290547606","https://openalex.org/W2559270546"],"abstract_inverted_index":{"Using":[0],"search":[1,17,166],"engines":[2],"to":[3,34,43,49,87,124,130,144,149,195],"retrieve":[4],"information":[5,20],"has":[6],"become":[7],"an":[8,22,55],"important":[9,23],"part":[10],"of":[11,57,60,77,90,127,155,183,193],"people's":[12],"daily":[13],"lives.":[14],"For":[15],"most":[16],"engines,":[18],"click":[19,66,156],"is":[21,47,70],"factor":[24],"in":[25,72],"document":[26],"ranking.":[27],"As":[28],"a":[29,36,63,83,163,191],"result,":[30],"some":[31],"websites":[32],"cheat":[33],"obtain":[35,145],"higher":[37,151],"rank":[38],"by":[39],"fraudulently":[40],"increasing":[41],"clicks":[42,177,185],"their":[44],"pages,":[45],"which":[46,75],"referred":[48],"as":[50,188],"\"Click":[51],"Spam\".":[52],"Based":[53],"on":[54,162],"analysis":[56],"the":[58,88,98,103,107,113,118,138],"features":[59],"fraudulent":[61],"clicks,":[62],"novel":[64],"automatic":[65],"spam":[67,157,189],"detection":[68],"approach":[69],"proposed":[71],"this":[73],"paper,":[74],"consists":[76],"1.":[78],"modeling":[79],"user":[80,99,176],"sessions":[81],"with":[82,190],"triple":[84],"sequence,":[85],"which,":[86],"best":[89],"our":[91],"knowledge,":[92],"takes":[93],"into":[94],"account":[95],"not":[96],"only":[97],"action":[100,104],"but":[101],"also":[102],"objective":[105],"and":[106,135,153],"time":[108],"interval":[109],"between":[110],"actions":[111],"for":[112],"first":[114],"time;":[115],"2.":[116],"using":[117,137,168],"user-session":[119],"bipartite":[120,140],"graph":[121,141],"propagation":[122,142],"algorithm":[123,143],"take":[125],"advantage":[126],"cheating":[128,133,146],"users":[129],"find":[131],"more":[132],"sessions;":[134],"3.":[136],"pattern-session":[139],"session":[147],"patterns":[148],"achieve":[150],"precision":[152,192],"recall":[154],"detection.":[158],"Experimental":[159],"results":[160],"based":[161],"Chinese":[164],"commercial":[165],"engine":[167],"real-world":[169],"log":[170],"data":[171],"containing":[172],"approximately":[173],"80":[174],"million":[175],"per":[178],"day":[179],"show":[180],"that":[181],"2.6%":[182],"all":[184],"were":[186],"detected":[187],"up":[194],"97%.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
