Abstract

• Tourists need information about places to visit, where to eat, activities, and so on. This information is typically found in guidebooks and on the Internet, requiring the tourist to actively search for relevant information. Instead, this information can be available on an electronic marketplace where it is personalized to suit each tourist. A recommender system is one of the types of personalization information filtering system that seeks to predict the "rating" or "preference" which a user would give to an item. Personalized recommender systems are becoming more interesting especially when not limited to just searching for information but they are also to recommend the items that would be more appropriate for the user’s needs or preferences. The aim of this research, this recommender system is then used to predict interesting places in Myanmar (or ratings for places of items) that the users may have an interest in.