Towards an Efficient Knowledge-based Recommendation System
Houda El Bouhissi, Micipsa Adel, Anis Ketam, Abdel-Badeeh Mohamed Salem · 2021
With the emergence of the Internet, Recommendation Systems (RS) have emerged due to their ability to manage a massive amount of information. RS plays a very important role in guiding users' decisions and making their tasks easier. Additionally, food and its impact on wellbeing, metabolism, and success at school, during sports, or at work are becoming increasingly important. In this paper, we provide a systematic review of the most related food RSs according to healthcare. Furthermore, we propose SIHATI, a new knowledge-based food RS integrating machine learning techniques, that can be used to assist persons in finding relevant food. In particular, we implement SIHATI, which we present its general idea in this paper. Preliminary results indicate that integrating machine learning ML) techniques into the RSs will provide efficient and accurate recommendations.