Q3298275 (Q3298275): Difference between revisions
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(Changed label, description and/or aliases in en: Setting new description) |
(Created claim: summary (P836): Development of a self-learning platform with Buyer Prediction for anonymised user behavior analysis. On the basis of a machine learning algorithm, website content and user interests are to be grouped into categories and future purchases are predicted. The goal is a personal and data protection-compliant advertising display., translated_summary) |
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Development of a self-learning platform with Buyer Prediction for anonymised user behavior analysis. On the basis of a machine learning algorithm, website content and user interests are to be grouped into categories and future purchases are predicted. The goal is a personal and data protection-compliant advertising display. (English) | |||||||||||||||
| Property / summary: Development of a self-learning platform with Buyer Prediction for anonymised user behavior analysis. On the basis of a machine learning algorithm, website content and user interests are to be grouped into categories and future purchases are predicted. The goal is a personal and data protection-compliant advertising display. (English) / rank | |||||||||||||||
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| Property / summary: Development of a self-learning platform with Buyer Prediction for anonymised user behavior analysis. On the basis of a machine learning algorithm, website content and user interests are to be grouped into categories and future purchases are predicted. The goal is a personal and data protection-compliant advertising display. (English) / qualifier | |||||||||||||||
point in time: 24 October 2021
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Revision as of 16:15, 24 October 2021
Project Q3298275 in Germany
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3298275 in Germany |
Statements
148,481.11 Euro
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296,962.22 Euro
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50.0 percent
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5 May 2017
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7 January 2019
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advanced STORE GmbH
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10179 - Berlin
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Entwicklung einer selbstlernenden Plattform mit Buyer Prediction zur anonymisierten Nutzerverhaltensanalyse. Auf Basis eines Machine Learning Algorithmus sollen Webseiteninhalte und Nutzerinteressen zu Kategorien gruppiert sowie zukünftige Einkäufe prognostizieren werden. Ziel ist eine personengenaue und datenschutzkonforme Werbeausspielung. (German)
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Development of a self-learning platform with Buyer Prediction for anonymised user behavior analysis. On the basis of a machine learning algorithm, website content and user interests are to be grouped into categories and future purchases are predicted. The goal is a personal and data protection-compliant advertising display. (English)
24 October 2021
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Identifiers
DE_TEMPORARY_1079
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