We investigates language models for informational and navigational web search. Retrieval on the web is a task that differs substantially from ordinary ad hoc retrieval. We perfor...
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
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...
A large amount of research, technical and professional documents are available today in digital formats. Digital libraries are created to facilitate search and retrieval of inform...
Given the rate of growth of the Web, scalability of search engines is a key issue, as the amount of hardware and network resources needed is large, and expensive. In addition, sea...