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» Query Evaluation on a Database Given by a Random Graph
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ICDE
2010
IEEE
568views Database» more  ICDE 2010»
16 years 5 months ago
Reverse Top-k Queries
Rank-aware query processing has become essential for many applications that return to the user only the top-k objects based on the individual user's preferences. Top-k queries...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
GIS
2006
ACM
16 years 7 months ago
Query optimizer for spatial join operations
This paper presents a query optimizer module based on cost estimation that chooses the best filtering step algorithm to perform a specific spatial join operation. A set of express...
Cirano Iochpe, João Luiz Dihl Comba, Miguel...
WWW
2011
ACM
15 years 27 days ago
Improving recommendation for long-tail queries via templates
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
Idan Szpektor, Aristides Gionis, Yoelle Maarek
HT
1991
ACM
15 years 9 months ago
Implementing Hypertext Database Relationships through Aggregations and Exceptions
In order to combine hypertext with database facilities, we show how to extract an effective storage structure from given instance relationships. The schema of the structure recogn...
Yoshinori Hara, Arthur M. Keller, Gio Wiederhold
ICPR
2008
IEEE
16 years 12 days ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...