{"id":"https://openalex.org/W2196586588","doi":"https://doi.org/10.1109/bigdata.2015.7364105","title":"A pricing mechanism using social media and web data to infer dynamic consumer valuations","display_name":"A pricing mechanism using social media and web data to infer dynamic consumer valuations","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2196586588","doi":"https://doi.org/10.1109/bigdata.2015.7364105","mag":"2196586588"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7364105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","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/A5045781811","display_name":"Samuel Johnson","orcid":"https://orcid.org/0000-0002-8648-1735"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samuel D. Johnson","raw_affiliation_strings":["Computer Science Dept, University of California Davis, Davis, California, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Dept, University of California Davis, Davis, California, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110179590","display_name":"Kang-Yu Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I200576644","display_name":"HRL Laboratories (United States)","ror":"https://ror.org/05p7te762","country_code":"US","type":"company","lineage":["https://openalex.org/I200576644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang-Yu Ni","raw_affiliation_strings":["Information and Systems Sciences Lab, HRL Laboratories Malibu, California, USA"],"affiliations":[{"raw_affiliation_string":"Information and Systems Sciences Lab, HRL Laboratories Malibu, California, USA","institution_ids":["https://openalex.org/I200576644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045781811"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.5658,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7918264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"68","issue":null,"first_page":"2868","last_page":"2870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9908999800682068,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9854000210762024,"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/social-media","display_name":"Social media","score":0.8389781713485718},{"id":"https://openalex.org/keywords/herding","display_name":"Herding","score":0.7292323112487793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961832642555237},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.59385746717453},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.581295907497406},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5700814723968506},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5641489028930664},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5632935166358948},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5574185252189636},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4308525323867798},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.33447161316871643},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.246641606092453},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2166958451271057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16964352130889893},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.13968026638031006}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8389781713485718},{"id":"https://openalex.org/C177605951","wikidata":"https://www.wikidata.org/wiki/Q1484503","display_name":"Herding","level":2,"score":0.7292323112487793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961832642555237},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.59385746717453},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.581295907497406},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5700814723968506},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5641489028930664},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5632935166358948},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5574185252189636},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4308525323867798},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.33447161316871643},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.246641606092453},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2166958451271057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16964352130889893},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.13968026638031006},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7364105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7364105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W74203006","https://openalex.org/W623754725","https://openalex.org/W1976889376","https://openalex.org/W2035518103","https://openalex.org/W2054476043","https://openalex.org/W2079977107","https://openalex.org/W2108646579","https://openalex.org/W2110373679","https://openalex.org/W2120586050","https://openalex.org/W2141631351","https://openalex.org/W4211186029"],"related_works":["https://openalex.org/W2123552042","https://openalex.org/W3122774093","https://openalex.org/W2171525224","https://openalex.org/W2084635241","https://openalex.org/W2240918811","https://openalex.org/W2066174277","https://openalex.org/W3169694757","https://openalex.org/W2882988462","https://openalex.org/W2809775760","https://openalex.org/W3200883251"],"abstract_inverted_index":{"The":[0,49],"tides":[1],"of":[2,17,51],"sentiments":[3],"expressed":[4],"in":[5,72],"online":[6,52,85],"social":[7,53],"media":[8,54],"rise":[9],"and":[10,27,37,63,71,80,84,90],"fall.":[11],"In":[12],"recent":[13],"years,":[14],"the":[15,23,40],"availability":[16],"big":[18],"data":[19],"has":[20],"afforded":[21],"researchers":[22],"ability":[24],"to":[25,33,60,67,94],"develop":[26],"evaluate":[28],"techniques":[29],"that":[30],"allow":[31],"us":[32],"identify,":[34],"classify,":[35],"aggregate,":[36],"even":[38],"predict":[39],"sentiment":[41,86],"dynamics":[42],"for":[43],"nearly":[44],"any":[45,68],"topic":[46],"[1],":[47],"[2].":[48],"users":[50],"platforms":[55],"like":[56],"Twitter":[57],"are":[58,87],"able":[59],"create,":[61],"propagate,":[62],"consume":[64],"information":[65],"pertaining":[66],"conceivable":[69],"topic,":[70],"doing":[73],"so,":[74],"they":[75],"influence":[76,95],"each":[77],"other's":[78],"opinions":[79],"behavior.":[81],"Herding":[82],"behavior":[83],"mutually":[88],"reinforcing,":[89],"have":[91],"been":[92],"shown":[93],"consumer":[96],"purchasing":[97],"decisions":[98],"[3],":[99],"[4].":[100]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
