We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and imple...
The correct web site text content must be help to the visitors to find what they are looking for. However, the reality is quite different, many times the web page text content is a...
Summarization of web pages is a very interesting topic from both academic and commercial point of view. Academically, it is challenging to create a summary of a document (e.g. a w...
Hassan Alam, Rachmat Hartono, Aman Kumar, Ahmad Fu...
Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
Terrorists and extremists are increasingly utilizing Internet technology to enhance their ability to influence the outside world. Due to the lack of multi-lingual and multimedia ...