Highly-Personalized Recommendations and Promotions of Mobile Apps

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Research unit

INNOSUISSE

Project number

14838.1;6 PFES-ES

Project title

Highly-Personalized Recommendations and Promotions of Mobile Apps

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Short description	-	-	-
Abstract	-	-	-

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Category	Text
Short description (English)	Highly-Personalized Recommendations and Promotions of Mobile Apps
Abstract (English)	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.

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Text

Short description
(English)

Highly-Personalized Recommendations and Promotions of Mobile Apps

Abstract
(English)

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.