A Personalized Recommendation Method of Restaurants based on Analytic Hierarchy Process
Liting Bu, Maoqi Zhang · 2021
The purpose of this article is to build up a recommendation method for the restaurants in Hong Kong. A method with customized percentages on multi factors based on Analytic Hierarchy Process (AHP) is proposed. It would provide the individuals with more dynamic and personalized restaurants recommendations according to their own demand rankings from several dimensions. Utilizing this model, we get a list of restaurant rankings in Hong Kong. The advantages of the method are analyzed through the experimental results.