MICROFORMATS BASED NAVIGATION ASSISTANT A Non-intrusive Recommender Agent: Design and Implementation
The multiple ways in which we rely on the information available on the web to solve increasingly more tasks encountered in day-to-day life has led to the question whether machines can help us parse the amounts of data and bring the interesting closer to us. This kind of activity, most often, requires machines to understand human defined semantics which, fortunately, can be easily done in today's web through semantic mark-up. The purpose of the proposed project is to build a flexible tool that understands the behaviour of a user on the web and filters out the irrelevant data, presenting to the user only the information he/she is most interested in, while being as discreet as possible: the user is required no preference settings, no explicit feedback.
microformats recommender system prediction semantic markup web interaction