Revision history of "Artificial intelligence streamlining the conversion of users to paying customers" (Q10117)

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12 March 2024

15 January 2024

19 June 2023

11 June 2023

17 February 2023

2 July 2022

  • curprev 11:3811:38, 2 July 2022DG Regio talk contribs 47,690 bytes +27,528 Changed label, description and/or aliases in da, el, hr, ro, sk, mt, pt, fi, pl, sl, lt, lv, bg, hu, ga, sv, et, cs, nl, fr, de, it, es, and other parts: Adding translations: da, el, hr, ro, sk, mt, pt, fi, pl, sl, lt, lv, bg, hu, ga, sv, et,

15 January 2022

14 January 2022

12 December 2021

2 December 2021

  • curprev 07:4907:49, 2 December 2021DG Regio talk contribs 15,541 bytes +1,419 Created claim: summary (P836): Ziel des Projekts ist die Forschung und Entwicklung von Technologien zur Steigerung der Effizienz von Investitionen in die Anziehung von Kunden, die auf den neuesten wissenschaftlichen und wissenschaftlichen Erkenntnissen auf dem Gebiet der Optimierung durch genetische Algorithmen in Kombination mit maschinellem Lernen mit tiefen neuronalen Netzwerken (tiefes Lernen) basieren. Das Ergebnis des Projekts wird ein System sein, das lange vor der Ums...
  • curprev 07:4907:49, 2 December 2021DG Regio talk contribs 14,122 bytes +140 Changed label, description and/or aliases in de: translated_label

28 November 2021

  • curprev 09:0709:07, 28 November 2021DG Regio talk contribs 13,982 bytes +1,445 Created claim: summary (P836): L’objectif du projet est la recherche et le développement de technologies visant à accroître l’efficacité de l’investissement pour attirer des clients, qui reposera sur les connaissances scientifiques et de recherche les plus récentes dans le domaine de l’optimisation par des algorithmes génétiques combinés à l’apprentissage automatique utilisant des réseaux neuronaux profonds (apprentissage approfondi). Le résultat du projet sera un système qui...
  • curprev 09:0709:07, 28 November 2021DG Regio talk contribs 12,537 bytes +153 Changed label, description and/or aliases in fr: translated_label

27 December 2020

28 October 2020

22 October 2020

  • curprev 14:5814:58, 22 October 2020DG Regio talk contribs 12,833 bytes +1,280 Created claim: summary (P836): The aim of the project is to research and develop technology to increase the efficiency of investment in customer acquisition, which will be based on the latest knowledge of science and research in the field of optimisation by genetic algorithms combined with machine learning using deep neural networks (deep learning). The result of the project will be a system that will be able to predict the probability that over time it will become a paying c...
  • curprev 14:5814:58, 22 October 2020DG Regio talk contribs 11,553 bytes −856 Removed claim: summary (P836): The project aims at research and development of technology to improve the efficiency of investment in customer acquisition, based on the most recent knowledge of science and research in optimising genetic algorithms in combination with physical learning using deep neurolearning networks. The project will result in a system that, over a long period of time before the customer switching to the customer, will be able to predict the likelihood of...
  • curprev 06:2706:27, 22 October 2020DG Regio talk contribs 12,409 bytes +139 Changed label, description and/or aliases in 1 language: translated_label
  • curprev 06:2706:27, 22 October 2020DG Regio talk contribs 12,270 bytes −140 Changed label, description and/or aliases in 1 language: remove_english_label

22 September 2020

15 July 2020

6 June 2020

25 March 2020

3 March 2020

25 February 2020

  • curprev 16:3016:30, 25 February 2020DG Regio talk contribs 11,128 bytes +856 Created claim: summary (P836): The project aims at research and development of technology to improve the efficiency of investment in customer acquisition, based on the most recent knowledge of science and research in optimising genetic algorithms in combination with physical learning using deep neurolearning networks. The project will result in a system that, over a long period of time before the customer switching to the customer, will be able to predict the likelihood of th...

17 February 2020

11 February 2020

6 February 2020

30 January 2020

28 January 2020

16 January 2020

10 January 2020