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Mensch und Computer 2014 – Tagungsband by Johann Schlichter, Andreas Butz, Michael Koch

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Product Experience Wall: A Context-adaptiveOutfit Recommender System

Christian Zagel

 

Friedrich-Alexander Universität Erlangen-Nürnberg

 

Abstract

This paper presents research in progress and describes the concept and prototype of the so called “Product Experience Wall”, an interactive and context-adaptive outfit recommendation system for retail fashion stores. The goal is to design an experiential system that serves both, functional and hedonic needs. Context adaption allows pro-actively approaching the user and recommending products based on the respective user context. Next to face detection algorithms, we use RFID sensors and interfaces to external data sources (e.g., weather information) to create a unique customer experience. This experience ...

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