Online study on Product Recommender Systems (User Group 1)
08 May 2017
This study tries to explore the importance of different product features for different users in personalized recommender systems. The study tends to investigate the diversity of users' interests in terms of different values of product features (e.g. Not everyone has the same favorite camera brand).
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About the researcher
I am a doctorate student working in an Interactive systems group of computer science department in Duisburg-Essen University, Germany. My area of research is argumentation-based personalized explanations of recommender systems. The research will help users in making a right purchase decision using recommender systems, by providing the explanations of recommendations in an argumentative and personalized manner.
