{"id":"https://openalex.org/W3164768936","doi":"https://doi.org/10.1145/3460881.3460930","title":"Deep Learning for Neuromarketing; Classification of User Preference using EEG Signals","display_name":"Deep Learning for Neuromarketing; Classification of User Preference using EEG Signals","publication_year":2021,"publication_date":"2021-05-27","ids":{"openalex":"https://openalex.org/W3164768936","doi":"https://doi.org/10.1145/3460881.3460930","mag":"3164768936"},"language":"en","primary_location":{"id":"doi:10.1145/3460881.3460930","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460881.3460930","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460881.3460930","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Augmented Human International Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3460881.3460930","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017694447","display_name":"Maryam Alimardani","orcid":"https://orcid.org/0000-0003-3077-7657"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Maryam Alimardani","raw_affiliation_strings":["Tilburg University, Netherlands"],"affiliations":[{"raw_affiliation_string":"Tilburg University, Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030226413","display_name":"Mory Kaba","orcid":null},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mory Kaba","raw_affiliation_strings":["Tilburg University, Netherlands"],"affiliations":[{"raw_affiliation_string":"Tilburg University, Netherlands","institution_ids":["https://openalex.org/I193700539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017694447"],"corresponding_institution_ids":["https://openalex.org/I193700539"],"apc_list":null,"apc_paid":null,"fwci":2.1372,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86855484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromarketing","display_name":"Neuromarketing","score":0.809700608253479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7797836661338806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7642101049423218},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6911064386367798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6572753190994263},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.647908091545105},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48062247037887573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4744982421398163},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.46345847845077515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4553326964378357},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.43582719564437866},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4172605872154236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33483004570007324},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07801938056945801}],"concepts":[{"id":"https://openalex.org/C2781183061","wikidata":"https://www.wikidata.org/wiki/Q516337","display_name":"Neuromarketing","level":2,"score":0.809700608253479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7797836661338806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7642101049423218},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6911064386367798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6572753190994263},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.647908091545105},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48062247037887573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4744982421398163},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.46345847845077515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4553326964378357},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.43582719564437866},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4172605872154236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33483004570007324},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07801938056945801},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3460881.3460930","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460881.3460930","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460881.3460930","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Augmented Human International Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire/b1a1b214-f0f7-44d5-b5b8-3714dabbad57","is_oa":true,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/b1a1b214-f0f7-44d5-b5b8-3714dabbad57","pdf_url":null,"source":{"id":"https://openalex.org/S4306401490","display_name":"Research portal (Tilburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193700539","host_organization_name":"Tilburg University","host_organization_lineage":["https://openalex.org/I193700539"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Alimardani, M & Kaba, M 2021, Deep Learning for Neuromarketing; Classification of User Preference using EEG Signals. in Proceedings of the 12th Augmented Human International Conference, AH 2021., 3460930, ACM International Conference Proceeding Series, pp. 1-7, The 12th Augmented Human International Conference (AH2021), 27/05/21. https://doi.org/10.1145/3460881.3460930","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3460881.3460930","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460881.3460930","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460881.3460930","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Augmented Human International Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164768936.pdf","grobid_xml":"https://content.openalex.org/works/W3164768936.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1564541293","https://openalex.org/W1595721184","https://openalex.org/W1928220963","https://openalex.org/W1972871774","https://openalex.org/W1993818293","https://openalex.org/W1994854919","https://openalex.org/W2034737554","https://openalex.org/W2045501591","https://openalex.org/W2046975922","https://openalex.org/W2047506651","https://openalex.org/W2049062558","https://openalex.org/W2081966014","https://openalex.org/W2083056935","https://openalex.org/W2094694112","https://openalex.org/W2121534996","https://openalex.org/W2150641797","https://openalex.org/W2161561996","https://openalex.org/W2251599489","https://openalex.org/W2279038365","https://openalex.org/W2323345712","https://openalex.org/W2529244926","https://openalex.org/W2551209748","https://openalex.org/W2593668813","https://openalex.org/W2595519346","https://openalex.org/W2741907166","https://openalex.org/W2809254203","https://openalex.org/W2897502782","https://openalex.org/W2915893085","https://openalex.org/W3006715270","https://openalex.org/W3033186461","https://openalex.org/W3034854287","https://openalex.org/W3087438817","https://openalex.org/W3090341911","https://openalex.org/W3091698088","https://openalex.org/W3098650142","https://openalex.org/W3125250242"],"related_works":["https://openalex.org/W1538318010","https://openalex.org/W4232901672","https://openalex.org/W2103231377","https://openalex.org/W2733502718","https://openalex.org/W3125317945","https://openalex.org/W2499198615","https://openalex.org/W1571650177","https://openalex.org/W2986838707","https://openalex.org/W2718151546","https://openalex.org/W2017561809"],"abstract_inverted_index":{"The":[0,58],"present":[1],"study":[2],"investigates":[3],"the":[4,70,85,100,119,134,142,151,164],"applicability":[5],"of":[6,87,95,102,131,144,153],"deep":[7,44,154],"learning":[8,19,42,45,90,155],"methods":[9,22],"in":[10,27,141,157],"EEG":[11,112],"neuromarketing":[12,159],"prediction":[13,130,143,160],"tasks,":[14],"compared":[15,98],"to":[16,50,99],"traditional":[17],"machine":[18,41,89],"approaches.":[20],"Neuroscientific":[21],"have":[23],"expanded":[24],"research":[25],"capabilities":[26],"marketing":[28],"and":[29,36,43,64,77,118,166],"created":[30],"new":[31],"insights":[32],"into":[33],"consumer":[34,53],"behavior":[35],"decision":[37],"making":[38],"processes.":[39],"Both":[40],"approaches":[46],"can":[47],"be":[48],"employed":[49],"predict":[51],"relevant":[52],"preference":[54],"from":[55],"brain":[56,75],"activity.":[57],"former":[59],"requires":[60],"extensive":[61],"signal":[62],"processing":[63],"feature":[65],"engineering":[66],"for":[67,129,150],"classification":[68],"whereas":[69],"later":[71],"relies":[72],"on":[73,108],"raw":[74],"signals":[76],"thus":[78],"avoids":[79],"time-consuming":[80],"preprocessing.":[81],"In":[82],"this":[83],"paper,":[84],"performance":[86,101,128],"a":[88,103],"model":[91],"comprising":[92],"an":[93],"ensemble":[94],"algorithms":[96,156],"was":[97],"convolutional":[104,135],"neural":[105,136],"network":[106,137],"(CNN)":[107],"two":[109],"independently":[110],"collected":[111],"datasets,":[113],"one":[114],"concerning":[115],"product":[116,132],"choices":[117],"other":[120],"movie":[121,145],"ratings.":[122,146],"While":[123],"both":[124],"models":[125],"showed":[126],"poor":[127],"choices,":[133],"proved":[138],"more":[139],"accurate":[140],"This":[147],"provides":[148],"evidence":[149],"superiority":[152],"certain":[158],"tasks.":[161],"We":[162],"discuss":[163],"limitations":[165],"future":[167],"application":[168],"opportunities.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}