Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Evaluating Top-k Selection Queries
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Finding k-dominant skylines in high dimensional space
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Efficient processing of top-k dominating queries on multi-dimensional data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
| Hi-index | 0.00 |
We demonstrate CareDB, a context and preference-aware database system. CareDB provides scalable personalized location-based services to users based on their preferences and current surrounding context. Unlike existing location-based database systems that answer queries based solely on proximity in distance, CareDB considers user preferences and various types of context in determining the answer to location-based queries. To this end, CareDB does not aim to define new location-based queries, instead, it aims to redefine the answer of existing location-based queries. To achieve its goals, CareDB has several distinguishing characteristics that revolve around a generic and extensible preference and context-aware query processing framework that addresses (a) scalable, efficient preference joins, (b) gracefully handling contextual attributes that are expensive to derive, and (c) support for uncertain attributes.