Mobile Recommender Systems Methods: An Overview
This is an incremental overview of existing methods for mobile recommender systems, targeting users overwhelmed by information on mobile platforms.
The paper addresses the challenge of information overload on mobile devices by aiming to design recommender systems that match user interests to reduce navigation time, but it does not present specific results or numbers.
The information that mobiles can access becomes very wide nowadays, and the user is faced with a dilemma: there is an unlimited pool of information available to him but he is unable to find the exact information he is looking for. This is why the current research aims to design Recommender Systems (RS) able to continually send information that matches the user's interests in order to reduce his navigation time. In this paper, we treat the different approaches to recommend.