Applying Web Usage Mining for Adaptive Intranet Navigation

Much progress has recently been made in assisting a user in the search process, be it Web search where the big search engines have now all incorporated more interactive features or be it online shopping where customers are commonly recommended items that appear to match the customer’s interest. While assisted Web search relies very much on implicit information such as the users’ search behaviour, recommender systems typically rely on explicit information, expressed for example by a customer purchasing an item. Surprisingly little progress has however been made in making navigation of a Web site more adaptive. Web sites can be difficult to navigate as they tend to be rather static and a new user has no idea what documents are most relevant to his or her need. We try to assist a new user by exploiting the navigation behaviour of previous users. On a university Web site for example, the target users change constantly. In a company the change might not be that dramatic, nevertheless ne...

• Type: Journal
• Year: 2011
• Where: IRFC
• Authors: Sharhida Zawani Saad, Udo Kruschwitz
• Keywords: Adaptive Web, Information Technology, IRFC 2011, Search Behaviour, Target Users