Abstract
Problem statement: 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. Effective recommendation of web pages involves two important challenges: accurately identifying the user intent and predict the result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system imminent navigation pattern in such a way that it provides required content while users browse the predicted navigation. Approach: We present a ontology based approach to implement recommendation system that involves applying innovative web usage mining on log system to discover all possible imminent navigation patterns of current user and resolve any uncertainties in discovering the navigation pattern by applying ontological concept based similarity comparison and scoring algorithm. Results: result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system to predict and present most relevant navigation pattern to users. Conclusion: our recommendation system confirms that ontology based approach should be used to ensure excellent accuracy in predicting and capturing future navigation pattern of web user.
Highlights
With the increasing popularity of Web, we have witnessed explosive growth in the data accessible on the web
All the ecommerce sites focus on providing personalized access to user on their site with the implementation of recommendation system (Baraglia and Silversti, 2004).We consider three essential elements that collectively play a critical role in personalized access of website
Our result shows that ontology concept score update propagation method is really contributes to online recommendation system in achieving excellent accuracy in the prediction
Summary
With the increasing popularity of Web, we have witnessed explosive growth in the data accessible on the web. All the ecommerce sites focus on providing personalized access to user on their site with the implementation of recommendation system (Baraglia and Silversti, 2004).We consider three essential elements that collectively play a critical role in personalized access of website. These three independent elements are user short term information such as user’s current navigation pattern, semantic knowledge about the website domain being investigated and the user’s navigation profile captured with the web usage mining as long term interest
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