{"id":"https://openalex.org/W2963136413","doi":"https://doi.org/10.1145/3308897.3308907","title":"Information Market for Web Browsing","display_name":"Information Market for Web Browsing","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2963136413","doi":"https://doi.org/10.1145/3308897.3308907","mag":"2963136413"},"language":"en","primary_location":{"id":"doi:10.1145/3308897.3308907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3308897.3308907","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-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/A5066531557","display_name":"Arash Molavi Kakhki","orcid":"https://orcid.org/0000-0001-8066-3602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arash Molavi Kakhki","raw_affiliation_strings":["ThousandEyes, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ThousandEyes, Boston, MA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048176132","display_name":"Vijay Erramilli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Erramilli","raw_affiliation_strings":["Salesforce, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071387474","display_name":"Phillipa Gill","orcid":"https://orcid.org/0000-0003-4286-3018"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phillipa Gill","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026913706","display_name":"Augustin Chaintreau","orcid":"https://orcid.org/0000-0001-7354-3928"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Augustin Chaintreau","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110245986","display_name":"Balachander Krishnamurthy","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balachander Krishnamurthy","raw_affiliation_strings":["AT&T Labs - Research, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, New York, NY, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5043,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76482654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","issue":"3","first_page":"24","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9821000099182129,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9692000150680542,"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":0.6029973030090332},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5653039216995239},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5638241171836853},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5551580190658569},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5035623908042908},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4472968876361847},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.4149729609489441},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3299306035041809},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08085879683494568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029973030090332},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5653039216995239},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5638241171836853},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5551580190658569},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5035623908042908},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4472968876361847},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.4149729609489441},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3299306035041809},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08085879683494568},{"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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308897.3308907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3308897.3308907","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2566006169","https://openalex.org/W2770234245","https://openalex.org/W2987774938","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W4378874356","https://openalex.org/W2369811061","https://openalex.org/W3089997100","https://openalex.org/W620798607","https://openalex.org/W1607147593"],"abstract_inverted_index":{"Browsing":[0],"privacy":[1,58,101],"solutions":[2],"are":[3,133],"faced":[4],"with":[5,84,126],"an":[6,68,96],"uphill":[7],"battle":[8],"to":[9,14,39,63,87,90,104,136,150,155,170],"deployment.":[10],"Many":[11],"operate":[12],"counter":[13],"the":[15,118,157,164],"economic":[16,76],"objectives":[17],"of":[18,117,146,148],"popular":[19],"online":[20,57,66,79,174],"services":[21],"(e.g.,":[22],"by":[23],"completely":[24],"blocking":[25],"ads)":[26],"and":[27,65,94,102,108,129,173],"do":[28],"not":[29,73],"provide":[30],"enough":[31],"incentive":[32],"for":[33,42,56,78],"users":[34,64,83,105,128,132,149,172],"who":[35],"may":[36],"be":[37,168],"subject":[38],"performance":[40],"degradation":[41],"deploying":[43],"them.":[44],"In":[45],"this":[46],"study,":[47],"we":[48],"take":[49],"a":[50,54,121,152],"step":[51],"towards":[52],"realizing":[53],"system":[55,72,158,165],"that":[59,99,131,163],"is":[60],"mutually":[61],"beneficial":[62],"advertisers:":[67],"information":[69,97],"market.":[70],"This":[71],"only":[74],"maintains":[75],"viability":[77],"services,":[80],"but":[81],"provides":[82,100],"financial":[85],"compensation":[86],"encourage":[88],"them":[89],"participate.":[91],"We":[92,114,141,161],"prototype":[93],"evaluate":[95,115,156],"market":[98,119],"revenue":[103],"while":[106],"preserving":[107],"sometimes":[109],"improving":[110],"their":[111,138],"Web":[112,144],"performance.":[113],"feasibility":[116],"via":[120],"one":[122],"month":[123],"field":[124],"study":[125,154],"63":[127],"find":[130,162],"indeed":[134,167],"willing":[135],"sell":[137],"browsing":[139],"information.":[140],"also":[142],"use":[143],"traces":[145],"millions":[147],"drive":[151],"simulation":[153],"at":[159],"scale.":[160],"can":[166],"profitable":[169],"both":[171],"advertisers.":[175]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}