Information Retrieval CSE 8337 Spring 2007 Retrieval Evaluation Many slides in this section are adapted from Prof. Raymond J. Mooney in CS378 at UT which.
K Sarath Kumar. Introduction Storage and Querying in P2P scenario XML Caching Building a Cooperative Cache Indexing XML Cache Cache Operations Cache Replacement.
Evaluation Experiments and Experience from the Perspective of Interactive Information Retrieval Ross Wilkinson Mingfang Wu ICT Centre CSIRO, Australia.
IR Evaluation Evaluate what? –user satisfaction on specific task –speed –presentation (interface) issue –etc. My focus today: –comparative performance.
Systems Support for Manipulating Large Scientific Datasets Joel Saltz Biomedical Informatics Department The Ohio State University Research/Development.
Performance Evaluation of Information Retrieval Systems
Optimal Planar Point Enclosure Indexing
High Level Language: Pig Latin
Glasgow 02/02/04 NN k networks for content-based image retrieval Daniel Heesch.
Generalized Search Trees J.M Hellerstein, J.F. Naughton and A. Pfeffer, “Generalized Search Trees for Database Systems,” Proc. 21 st Int’l Conf. On VLDB,
Server Ranking for Distributed Text Retrieval Systems on the Internet (Yuwono and Lee) presented by Travis Emmitt.
Improving Cloaking Detection Using Search Query Popularity and Monetizability Kumar Chellapilla and David M Chickering Live Labs, Microsoft.
