Develop and validate the technology for the segmentation of the digital trace of internet users with psychological criteria and support the creation of more tailored data online for the audience (Q78159): Difference between revisions
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(Created claim: summary (P836): The expected result of this project is an AdTech platform (advertising technology) to improve the effectiveness of advertising campaigns.Its action will consist of a unique segmentation of digital data by Internet users in terms of their personality and visual interest and the recommendation to produce marketing communications to these segments.The artificial intelligence platform will use traces of digital internet users to think about their pe...) |
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| Property / summary | |||
The expected result of this project is an AdTech platform (advertising technology) to improve the effectiveness of advertising campaigns.Its action will consist of a unique segmentation of digital data by Internet users in terms of their personality and visual interest and the recommendation to produce marketing communications to these segments.The artificial intelligence platform will use traces of digital internet users to think about their personality, values and visual preferences.The research will consist of a predictive model for classifying internet users in terms of psychological (personality, value system and aesthetic preferences) based on data from selected, collaborative online media publishers.A tool will then be developed for the diagnosis of preferences to visuals.The copyright tool to measure preferences to visuals will be innovative — will characterise respondents’ attitudes to both the formal qualities of image (such as, for example, the level of background/saturation of emotions) and content (for example, the presence of people, nature or artefacts).Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014). (English) | |||
| Property / summary: The expected result of this project is an AdTech platform (advertising technology) to improve the effectiveness of advertising campaigns.Its action will consist of a unique segmentation of digital data by Internet users in terms of their personality and visual interest and the recommendation to produce marketing communications to these segments.The artificial intelligence platform will use traces of digital internet users to think about their personality, values and visual preferences.The research will consist of a predictive model for classifying internet users in terms of psychological (personality, value system and aesthetic preferences) based on data from selected, collaborative online media publishers.A tool will then be developed for the diagnosis of preferences to visuals.The copyright tool to measure preferences to visuals will be innovative — will characterise respondents’ attitudes to both the formal qualities of image (such as, for example, the level of background/saturation of emotions) and content (for example, the presence of people, nature or artefacts).Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014). (English) / rank | |||
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Revision as of 09:00, 4 March 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Develop and validate the technology for the segmentation of the digital trace of internet users with psychological criteria and support the creation of more tailored data online for the audience |
Project in Poland financed by DG Regio |
Statements
4,097,683.08 zloty
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5,773,661.76 zloty
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70.97 percent
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1 November 2018
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31 December 2020
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ADEMOTION SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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54°21'41.0"N, 18°37'41.5"E
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Zakładanym rezultatem niniejszego projektu jest platforma klasy adtech (advertising technology) do poprawy efektywności kampanii reklamowych. Jej działanie polegać będzie na unikalnej segmentacji danych cyfrowych pozostawianych przez użytkowników Internetu pod kątem ich osobowości i preferencji wizualnych oraz rekomendacji tworzenia komunikacji marketingowej do tych segmentów. Platforma z algorytmami sztucznej inteligencji (machine learning) będzie wykorzystywać ślady cyfrowe użytkowników Internetu do predykcji ich osobowości, wartości i preferencji wizualnych. W ramach prac badawczych zostanie zbudowany model predykcyjny pozwalający na klasyfikację użytkowników Internetu do grup scharakteryzowanych pod względem psychologicznym (osobowość, system wartości i preferencje estetyczne) w oparciu o dane uzyskiwane od wybranych, kooperujących wydawców mediów internetowych. Następnie opracowane zostanie narzędzie pozwalające na diagnozę preferencji wobec materiałów wizualnych. Autorskie narzędzie służące do pomiaru preferencji wobec materiałów wizualnych będzie miało charakter innowacyjny - pozwoli scharakteryzować stosunek respondentów zarówno do cech formalnych obrazu (takich jak np. poziom typowości czy nasycenie emocjami), jak i treściowych (np. występowanie na obrazie ludzi, przyrody czy artefaktów). Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art. 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). (Polish)
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The expected result of this project is an AdTech platform (advertising technology) to improve the effectiveness of advertising campaigns.Its action will consist of a unique segmentation of digital data by Internet users in terms of their personality and visual interest and the recommendation to produce marketing communications to these segments.The artificial intelligence platform will use traces of digital internet users to think about their personality, values and visual preferences.The research will consist of a predictive model for classifying internet users in terms of psychological (personality, value system and aesthetic preferences) based on data from selected, collaborative online media publishers.A tool will then be developed for the diagnosis of preferences to visuals.The copyright tool to measure preferences to visuals will be innovative — will characterise respondents’ attitudes to both the formal qualities of image (such as, for example, the level of background/saturation of emotions) and content (for example, the presence of people, nature or artefacts).Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014). (English)
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Identifiers
POIR.01.01.01-00-0598/18
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