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SAINT
2005
IEEE
16 years 1 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
WISE
2002
Springer
16 years 11 days ago
Storing and Maintaining Semistructured Data Efficiently in an Object-Relational Database
We propose to use object-relational database management systems to store and manage semi-structured data. ORA-SS (Object-Relationship-Attribute model for Semi-Structured data) [9]...
Yuanying Mo, Tok Wang Ling
SWWS
2010
15 years 5 months ago
Improving User Query Processing Based on User Profile and Task Context
- Today there is a real challenge in accessing relevant information according to the needs and the context of the user. Recent studies have dynamically enhanced the user query with...
Ounas Asfari, Bich-Liên Doan, Yolaine Bourda...
WWW
2007
ACM
16 years 8 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
217
Voted
WWW
2006
ACM
16 years 8 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill