Web Page Prediction for Web Personalization: A Review

This paper proposes a survey of Web Page Ranking for web personalization. Web page prefetching has been widely used to reduce the access latency problem of the Internet. However, if most prefetched web pages are not visited by the users in their subsequent accesses, the limited network bandwidth and server resources will not be used efficiently and may worsen the access delay problem. Therefore, it is critical that we have an accurate prediction method during prefetching. The technique like Markov models have been widely used to represent and analyze user2018;s navigational behavior (usage data) in the Web graph, using the transitional probabilities between web pages, as recorded in the web logs. The recorded users2018; navigation is used to extract popular web paths and predict current users2018; next steps

Managing the Evolution of Corporate Portals - A User-Centric Approach

Corporate portals have become an important component in company intranets. This work focuses on the challenges that arise due to constant evolution of such portals. A concept framework is presented to cope with these challenges. As part of this framework the implementation of a recommender system is proposed and specified in detail. The applicability of the concept is demonstrated by a case study