An Ontological Framework for Improving the Online Recommendation System Using Bees Intelligence
With the increasing popularity of web, the authors have witnessed explosive growth in the data accessible on the web. It become mandatory for all kind of websites to provide personalized access of information based on user intent. Otherwise, user is loaded with burden of information. Users might not find the more relevant information during their website visit. Thus, online recommendation system has attracted interest in research community to capture future navigation of user and personalize the user's web experience. Every web user has different intent when accessing the information on website. The primary goal of recommendation system is to anticipate the user intent and recommend the web pages that contain user expected information.