The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
NP-hard combinatorial optimization problems are common in real life. Due to their intractability, local search algorithms are often used to solve such problems. Since these algori...
Document search is generally based on individual terms in the document. However, for collections within limited domains it is possible to provide more powerful access tools. This ...
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
A major hardness of processing searches issued in the form of keywords on structured data is the ambiguity problem. A set of keywords itself is not a complete piece of information...