A Personalized Hybrid Restaurant Recommender System through Conversations

Providing accurate information from restaurants to make a decision on where to eat is becoming increasingly difficult as the amount of information and the number of options increases. The system treats the selection of restaurants of interest as an interactive and conversational process, with recommendation systems researching the attributes of restaurants and responding to the user. It was tested on a sample of 100 users.