GPS-Based Location Recommendation Using a Belief Network Model
Kunlei Zhu, Jiajin Huang, Ning Zhong · Lecture notes in computer science · 2015
With the increasing popularity of location-based services, location recommendation is one of important applications. In this paper, according to a user’s preference, we recommend locations to a user by extending an information retrieval model, namely, belief network model. We regard the user’s preference as a query, a location as a document, categories as index terms. And then, we use the belief network model to recommend locations to a user by adding expert information. Experimental results on a real world data set show that recommendation effectiveness can be improved.