A restaurant recommendation system for Turkish based on user conversations

Recommendation systems have recently been used in many fields. This study describes a restaurant recommendation system which is developed specifically for data that is collected from chat messages typed in Turkish. The proposed system aims to recommend best matching places to a group of users in a chat environment analyzing their conversations. To achieve this goal, a rule-based approach which composes of normalization, analysis and recommendation steps has been designed and implemented. Furthermore, an explanation module used for explaining why the system recommends selected places has been added.