Proceedings of the 17th International Conference on Data Engineering
Continual Neighborhood Tracking for Moving Objects Using Adaptive Distances
IDEAS '02 Proceedings of the 2002 International Symposium on Database Engineering & Applications
Location Based Services
IEEE Transactions on Knowledge and Data Engineering
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Location-Dependent Skyline Query
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
An efficient skyline framework for matchmaking applications
Journal of Network and Computer Applications
Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation
General spatial skyline operator
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Efficient general spatial skyline computation
World Wide Web
Mobility and social networking: a data management perspective
Proceedings of the VLDB Endowment
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Due to the recent development of mobile computing and communication network technologies, information services for mobile phone users and car navigation systems have becomeof some importance. Since these mobile devices have limited display sizes, we often need to select carefully the appropriate information to be presented to the user. However, it is not easy to select the "appropriate" information because users have different contexts and preferences. In this paper, we present an approach to recommending items such as restaurants to a mobile user taking into account his current location and preferences. In our framework, a user initially provides a profile, which records preferences as relative orders within predefined categories such as food types and prices. We then select items to be recommended from the database based on the user's profile as well as the current location. To select good items, we extend the notion of spatial skyline queries to incorporate not only distance information but also categorical preference information. Based on the proposed approach, a prototype system has been implemented in a small mobile PC containing a small embedded RDBMS. The facilities of the RDBMS, such as spatial indexes, were used to process our skyline queries effectively.