Nederlands
Contact
Sitemap
Search
OrganisationEEMCS EPrints Service
 |
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
van Bunningen, A.H. and Fokkinga, M.M. and Apers, P.M.G. and Feng, Ling
(2007)
Ranking Query Results using Context-Aware Preferences.
In: First International Workshop on Ranking in Databases (DBRank 2007), April 16, 2007, Istanbul, Turkey.
pp. 269-276.
IEEE Computer Society.
ISBN 978-1-4244-0832-0
Full text available as:
Official URL: http://dx.doi.org/10.1109/ICDEW.2007.4401003  AbstractTo better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these preferences can differ for each context of the user, we introduce context-aware preferences. To anchor the semantics of context-aware preferences in a traditional probabilistic model of information retrieval, we present a semantics for context-aware preferences based on the history of the user. An advantage of this approach is that the inherent uncertainty of context information, due to the fact that context information is often acquired through sensors, can be easily integrated in the model. To demonstrate the feasibility of our approach and current bottlenecks we provide a naive implementation of our technique based on database views.
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item |
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
