Recommending Hotels by Social Conditions of Locations

Abstract

In the field of information technology, a recommendation system is a computer program that provides valuable information for the users and guides them to take efficient decisions. The recommendation systems play a vital role in reducing time and effort of users to choose their desired products/services. With rapid growth of Internet technologies recommender systems become very popular to the users nowadays. In this paper, we present a system for recommending hotels for the users. Conventional hotel recommendation systems recommend hotels based on non-spatial attributes of hotels such as price and rating and do not utilize their social locations well. In contrast, proposed system considers the co-existence of other facilities such as restaurants and entertainment facilities in the surrounding areas while selecting a hotel for recommendation. We first evaluate the social conditions of each hotel. Then, we consider user provided reviews about hotels where he stayed earlier. Based on the user’s review, we calculate preferences of that user. Finally, we calculate similarity score between the hotels and the user’s preferences and select the top-k hotels. We perform different experiments to show the effectiveness of our approach. Experimental evaluation shows that our approach is well applicable for recommending hotels for the users.

Main part of this work has been done while Arefin and Chang were in Hiroshima University.