Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks
Cites background or methods from "Incorporating Spatial, Temporal, an..."
...incorporated in the recommendation process [8,16,3]. The analysis of users’ behavior indicates that geographical information has a higher impact on users’ preference than other contextual information [18,22,6]. As a consequence, several POI recommendation methods have been proposed considering the geographical context [8,11,12,21]. However, the past work has considered geographical context only from the us...
...tions at each time slot. – PFMPD: A method using the Power-law Distribution  that model people tend to visit nearby POIs. We integrate this model with the Probabilistic Factor Model (PFM). – LMFT : A method that considers a user’s recent activities as more important than their past activities and multiple visits to a location, as indicates of a stronger preference for that location. – iGLSR7 [...
"Incorporating Spatial, Temporal, an..." refers background in this paper
...Given a set of users U and a set of items I , a recommender system attempts to find the subset of items that are the most relevant to each user (U j ) ....
"Incorporating Spatial, Temporal, an..." refers methods in this paper
...To give credit to a larger set of coratings, we scale (1) by the Jaccard similarity index ...
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