Handling skewed results in news recommendations by focused analysis of semantic user profiles

To provide personalized services of digital product NEWS, complete understanding of user profile is very essential and crucial. It is observed that user interest in online news reading is very dynamic so we are making two profiles of each user: one for short term (dynamic) interests and one for long term (static) interests. We have designed an online news portal which prioritizes the preferred news topics based on the focused and deep analysis of registered user's profiles, made semantically based on our designed domain ontology.