Definition
A personalized location-based recommendation system suggests a user to visit or check in some specific locations, e.g., restaurants, stores, and museums, that are in accordance with the preference of the user. The preferences of users to locations are usually derived from their check-in histories on locations. In reality, human movement exhibits sequential patterns that can be extracted from the check-in location sequences of users. For example, people usually go to cinemas or bars after restaurants since they would like to relax after dinner. The influence of sequential patterns on the check-in behaviors of users to locations has become increasingly important in location recommendations.
Historical Background
With the rapid advancement of mobile devices and location acquisition technologies, location-based...
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Zhang, JD., Chow, CY. (2017). Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1582
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DOI: https://doi.org/10.1007/978-3-319-17885-1_1582
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