144 search results - page 20 / 29 » Semantics of Ranking Queries for Probabilistic Data and Expe... |
VLDB
2009
ACM
14 years 8 months ago
2009
ACM
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
VLDB
2007
ACM
14 years 1 months ago
2007
ACM
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
JMLR
2010
13 years 2 months ago
2010
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
ICIW
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
ICDE
2007
IEEE
14 years 2 months ago
2007
IEEE
User-defined preferences allow personalized ranking of query results. A user provides a declarative specification of his/her preferences, and the system is expected to use that ...