{"id":"https://openalex.org/W3204875648","doi":"https://doi.org/10.23919/wiopt52861.2021.9589572","title":"Personalized Pricing through User Profiling in Social Networks","display_name":"Personalized Pricing through User Profiling in Social Networks","publication_year":2021,"publication_date":"2021-10-18","ids":{"openalex":"https://openalex.org/W3204875648","doi":"https://doi.org/10.23919/wiopt52861.2021.9589572","mag":"3204875648"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt52861.2021.9589572","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt52861.2021.9589572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046625003","display_name":"Qinqi Lin","orcid":"https://orcid.org/0009-0005-9303-8220"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinqi Lin","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007119869","display_name":"Lingjie Duan","orcid":"https://orcid.org/0000-0002-0217-6507"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lingjie Duan","raw_affiliation_strings":["Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67587056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.8148480653762817},{"id":"https://openalex.org/keywords/targeted-advertising","display_name":"Targeted advertising","score":0.7241852283477783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685348629951477},{"id":"https://openalex.org/keywords/bayesian-game","display_name":"Bayesian game","score":0.556941568851471},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.529492199420929},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5078004002571106},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4841369092464447},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.47221142053604126},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.4254632592201233},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4164929986000061},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.366491436958313},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.36091348528862},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28920310735702515},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.254299521446228},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.22587141394615173},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1874469518661499},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10634449124336243},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09335139393806458}],"concepts":[{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.8148480653762817},{"id":"https://openalex.org/C2777459780","wikidata":"https://www.wikidata.org/wiki/Q1628411","display_name":"Targeted advertising","level":2,"score":0.7241852283477783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685348629951477},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.556941568851471},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.529492199420929},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5078004002571106},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4841369092464447},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.47221142053604126},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.4254632592201233},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4164929986000061},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.366491436958313},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.36091348528862},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28920310735702515},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.254299521446228},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.22587141394615173},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1874469518661499},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10634449124336243},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09335139393806458},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.23919/wiopt52861.2021.9589572","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt52861.2021.9589572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1755367569","https://openalex.org/W1916607624","https://openalex.org/W2046083725","https://openalex.org/W2130752181","https://openalex.org/W2153803020","https://openalex.org/W2157200701","https://openalex.org/W2168432970","https://openalex.org/W2525073621","https://openalex.org/W2782978053","https://openalex.org/W2784530134","https://openalex.org/W2795807997","https://openalex.org/W2808858103","https://openalex.org/W2944567664","https://openalex.org/W2975987690","https://openalex.org/W2998344508","https://openalex.org/W3123920008"],"related_works":["https://openalex.org/W2403314867","https://openalex.org/W3125136525","https://openalex.org/W2071630435","https://openalex.org/W3124555691","https://openalex.org/W2067677565","https://openalex.org/W2171475086","https://openalex.org/W3121643521","https://openalex.org/W2163996848","https://openalex.org/W4301346623","https://openalex.org/W2072935944"],"abstract_inverted_index":{"User":[0],"profiling":[1,20,74,220,226],"allows":[2],"product":[3],"sellers":[4,51],"to":[5,9,26,30,64,131,151,162,193,200,239,245],"identify":[6],"users\u2019":[7,16,31,129,174,185,211],"willingness":[8],"pay":[10],"and":[11,24,87,92,101,140,169,177,184,197],"enable":[12],"personalized":[13,70,134],"pricing.":[14],"However,":[15],"information":[17,46,88],"exploited":[18],"in":[19,166],"is":[21,61,149,227],"usually":[22],"private":[23,45,123],"hard":[25],"obtain":[27],"accurately":[28],"due":[29,161],"privacy":[32],"concerns.":[33],"With":[34],"the":[35,62,102,113,118,126,133,137,145,153,164,171,180,189,203,207,219,231],"increasing":[36],"popularity":[37],"of":[38,121,158,228],"social":[39,48,57,76,85,108,114,186,243],"networks,":[40,77],"where":[41,78],"users":[42,54,79,100,105,139],"reveal":[43],"their":[44,56,84,107,241],"through":[47,55,72],"interactions,":[49],"more":[50,247],"today":[52],"profile":[53,246],"data.":[58],"This":[59],"paper":[60],"first":[63],"study":[65],"how":[66],"a":[67,94,141,235],"seller":[68,127,232],"optimizes":[69],"pricing":[71,182],"user":[73,167,225],"on":[75],"proactively":[80],"react":[81],"by":[82,110],"controlling":[83],"activities":[86,109,244],"leakage.":[89],"We":[90,205],"formulate":[91],"analyze":[93,152],"dynamic":[95],"Bayesian":[96,155],"game":[97,160],"played":[98],"between":[99,179],"seller.":[103],"First,":[104],"decide":[106],"trading":[111],"off":[112],"network":[115],"benefit":[116],"against":[117],"potential":[119],"risk":[120],"revealing":[122],"information.":[124],"Then,":[125],"exploits":[128],"profiles":[130],"determine":[132],"prices":[135],"for":[136,144],"profiled":[138],"uniform":[142,237],"price":[143,238],"non-profiled":[146],"users.":[147,248],"It":[148],"challenging":[150],"Perfect":[154],"Equilibrium":[156],"(PBE)":[157],"this":[159],"i)":[163],"randomness":[165],"profiling,":[168],"ii)":[170],"coupling":[172],"among":[173],"activity":[175,212],"levels":[176,213],"that":[178,210],"seller\u2019s":[181],"decisions":[183],"activities.":[187],"Despite":[188],"difficulty,":[190],"we":[191],"propose":[192],"alternate":[194],"backward":[195],"induction":[196,199],"forward":[198],"successfully":[201],"solve":[202],"PBE.":[204],"show":[206],"surprising":[208],"result":[209],"do":[214],"not":[215],"monotonically":[216],"decrease":[217],"as":[218],"technology":[221],"improves.":[222],"Instead,":[223],"when":[224],"high":[229,236],"accuracy,":[230],"strategically":[233],"chooses":[234],"stimulate":[240],"increased":[242]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}