This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not consider …
This paper tackles a major privacy concern in current location-based services where users have to continuously report their locations to the database server in order to obtain the …
Abstract The Agri-Food sector is in a stressful situation due to the high demand for food from the growing population around the world. The agricultural sector is facing a challenging …
Moving Objects Databases is the first uniform treatment of moving objects databases, the technology that supports GPS and RFID. It focuses on the modeling and design of data from …
The mean occupancy rates of personal vehicle trips in the United States is only 1.6 persons per vehicle mile. Urban traffic gridlock is a familiar scene. Ridesharing has the potential to …
Location-based services, such as finding the nearest gas station, require users to supply their location information. However, a user's location can be tracked without her consent or …
This paper proposes LARS*, a location-aware recommender system that uses location- based ratings to produce recommendations. Traditional recommender systems do not …
Given a set of objects P and a query point q, ak nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for static datasets …