Highly-Personalized Recommendations and Promotions of Mobile Apps

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Identifiant

Unité de recherche

INNOSUISSE

Numéro de projet

14838.1;6 PFES-ES

Titre du projet

Highly-Personalized Recommendations and Promotions of Mobile Apps

Titre du projet anglais

Highly-Personalized Recommendations and Promotions of Mobile Apps

Textes relatifs à ce projet

	Allemand	Français	Italien	Anglais
Description succincte	-	-	-
Résumé des résultats (Abstract)	-	-	-

Textes saisis

Catégorie	Texte
Description succincte (Anglais)	Highly-Personalized Recommendations and Promotions of Mobile Apps
Résumé des résultats (Abstract) (Anglais)	This project (1) turns a mobile app-discovery platform into a highly-personalized app-recommendations system by predicting apps and games a user will most-likely install (based on installation history, geolocation, similarity to other users). This system will be used by an (2) app-promotion tool to target app-ads to users with a high probability to install the promoted app. Targeted advertising will also reduce the burden on users compared to classical methods.

Catégorie

Texte

Description succincte
(Anglais)

Highly-Personalized Recommendations and Promotions of Mobile Apps

Résumé des résultats (Abstract)
(Anglais)

This project (1) turns a mobile app-discovery platform into a highly-personalized app-recommendations system by predicting apps and games a user will most-likely install (based on installation history, geolocation, similarity to other users). This system will be used by an (2) app-promotion tool to target app-ads to users with a high probability to install the promoted app. Targeted advertising will also reduce the burden on users compared to classical methods.