{"id":"https://openalex.org/W3159959630","doi":"https://doi.org/10.7148/2021-0125","title":"Machine Learning Technology Overview In Terms Of Digital Marketing And Personalization","display_name":"Machine Learning Technology Overview In Terms Of Digital Marketing And Personalization","publication_year":2021,"publication_date":"2021-04-29","ids":{"openalex":"https://openalex.org/W3159959630","doi":"https://doi.org/10.7148/2021-0125","mag":"3159959630"},"language":"en","primary_location":{"id":"doi:10.7148/2021-0125","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2021-0125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2021 Proceedings edited by Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela","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/A5069042820","display_name":"Anna Nikolajeva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Nikolajeva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014768132","display_name":"Artis Teil\u0101ns","orcid":"https://orcid.org/0000-0003-3185-9451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Artis Teilans","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1868,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88782064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9606999754905701,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9550999999046326,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8533685803413391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265679240226746},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.6650046706199646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6026970148086548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964003205299377},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3422578275203705},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.236395925283432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09332096576690674}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8533685803413391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265679240226746},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.6650046706199646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6026970148086548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964003205299377},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3422578275203705},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.236395925283432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09332096576690674},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2021-0125","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2021-0125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2021 Proceedings edited by Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1574715085","https://openalex.org/W1663973292","https://openalex.org/W1971784203","https://openalex.org/W2056068852","https://openalex.org/W2059586463","https://openalex.org/W2098888151","https://openalex.org/W2153803020","https://openalex.org/W2167672345","https://openalex.org/W2187591842","https://openalex.org/W2467710037","https://openalex.org/W2570764145","https://openalex.org/W2972536148","https://openalex.org/W3033252662","https://openalex.org/W3037744489","https://openalex.org/W3124268666","https://openalex.org/W3125135890"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3107602296","https://openalex.org/W3209574120","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0,13],"research":[1],"is":[2],"dedicated":[3],"to":[4,18,41,69],"artificial":[5],"intelligence":[6,110],"technology":[7,111],"usage":[8],"in":[9,31,48,90,117],"digital":[10],"marketing":[11,30],"personalization.":[12],"doctoral":[14],"theses":[15],"will":[16,25,112],"aim":[17],"create":[19,113],"a":[20,88],"machine":[21],"learning":[22,36,67,95,107],"algorithm":[23],"that":[24],"increase":[26],"sales":[27,119],"by":[28],"personalized":[29,83],"electronic":[32],"commerce":[33],"website.":[34],"Machine":[35],"algorithms":[37,53,96],"can":[38,86],"be":[39,87],"used":[40],"find":[42],"the":[43,91],"unobservable":[44],"probability":[45],"density":[46,49],"function":[47],"estimation":[50],"problems.":[51],"Learning":[52],"learn":[54],"on":[55,59],"their":[56,64],"own":[57],"based":[58],"previous":[60],"experience":[61,85],"and":[62,76,100],"generate":[63],"sequences":[65],"of":[66],"experiences,":[68],"acquire":[70],"new":[71,101],"skills":[72],"through":[73],"self-guided":[74],"exploration":[75],"social":[77],"interaction":[78],"with":[79,97],"humans.":[80],"An":[81],"entirely":[82],"advertising":[84],"reality":[89],"nearby":[92],"future":[93],"using":[94,105],"training":[98],"data":[99],"behaviour":[102],"patterns":[103],"appearance":[104],"unsupervised":[106],"algorithms.":[108],"Artificial":[109],"website":[114],"specific":[115],"adverts":[116],"all":[118],"funnels":[120],"individually.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}