B2C Mapping Based On A Fuzzy Logic Recommender System

Saving time and effort in searching for products and services is becoming an important issue in people's daily lives with the existence of new supporting technologies. Advanced search engines, directed advertising, and recommendation systems are all examples of such technologies. The services provided by restaurants are improved lately due to the utilization of different technologies in providing their services. Customers (or clients) require searching for the optimal services provided by the restaurants with minimal time, cost, and effort. This work is related to enhance the process of searching for the best restaurants' meals by implementing a tool supported by a fuzzy-based recommendation system that maps the best restaurants to customers' needs. The tool enables the customers to search for restaurants that satisfy their desires either manually or by relying on the fuzzy-based technique. The searching technique developed in the work helps customers to search and to get a list of the best-ranked restaurants related to their searching criteria. The experimental tests conducted in the work emerge a promising reduction in time and cost compared to the ordinary searching of meals.