Paper Title
An Agent-Based Mobile Recommender System For Tourisms

Nowadays using recommender systems in tourism applications has been increased. Recommender systems help users for reduction of their decision time and generate recommendations based on their preferences. In this paper, we proposed a new method for updating users’ profile and introduced a general architecture for agent-based mobile recommender system. Agent-based design permits to model different kinds of activities in a flexible way. In this system, content-based filtering algorithm for recommender system is used. The prototype of our mobile application has implemented for Tabriz tourism. Index terms- Multi-Agent, Recommendation System, Mobile, Tourism, Content Filtering.