Hongyu Liu, Jeannette Janssen and Evangelos Milios,  Dalhousie University
                                                                                
Title: Focused Crawling using HMM
                                                                                
Abstract: A focused crawler is designed to traverse the Web to
gather documents on a specific topic. It is not an easy task
to predict which links lead to good pages. In this talk, we
present a new approach for prediction of the important links
to relevant pages based on a learned user model. In particular,
we first collect pages that a user visits during a learning
session, where the user browses the Web and specifically
marks which pages she is interested in. We then examine
the semantic content of these pages to construct a concept
graph, which is used to learn the dominant content and link
structure leading to target pages using a Hidden Markov
Model (HMM). Experiments show that with learned HMM
from a users browsing, the crawling performs better than
Best-First strategy.