We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
A set of presentations covering the book, which includes the following topics ER Model and Conceptual Design, The Relational Model and SQL DDL, Relational Algebra, SQL, Database Ap...
Bitmap indexes are widely used in Decision Support Systems (DSSs) to improve query performance. In this paper, we evaluate the use of compressed inverted indexes with adapted quer...