Abstract
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.
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Zhu, K., Huang, J., Zhong, N. (2015). GPS-Based Location Recommendation Using a Belief Network Model. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_66
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DOI: https://doi.org/10.1007/978-3-319-25159-2_66
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