On the internet, web surfers, in the search of information, always strive for
recommendations. The solutions for generating recommendations become more
difficult because of exponential increase in information domain day by day. In
this paper, we have calculated entropy based similarity between users to
achieve solution for scalability problem. Using this concept, we have
implemented an online user based collaborative web recommender system. In this
model based collaborative system, the user session is divided into two levels.
Entropy is calculated at both the levels.