Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
In the research project EPOS1 we build a pro-active, contextsensitive support system to aid the user with his knowledge work, which is mostly about searching, reading, creating, an...
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
This study explores the construction of an intermediary as a product knowledge-sharing system for design industry with the advanced features of the Extensible Markup Language (XML...
The term frequency normalisation parameter sensitivity is an important issue in the probabilistic model for Information Retrieval. A high parameter sensitivity indicates that a sl...