An Ontology Based Approach to Implement the Online Recommendation System | Science Publications

Journal of Computer Science

Muthaial Chandrasekaran¹  Vijayakumar Mohanraj¹ 

关键词: Web usage mining;    recommendation system;    domain ontology;    information retrieval;    ontology based approach;    Greatest Common Subsequence (GCS);    Live Session Window (LSW);    Imminent Browsing Pattern (IBP);   

DOI  :  10.3844/jcssp.2011.573.581

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Every web user has different intent when accessing the information onwebsite. The primary goal of recommendation system is to anticipate the user intent and recommendthe web pages that contain user expected information. Effective recommendation of web pagesinvolves two important challenges: accurately identifying the user intent and predict the result showthat novel web usage mining method and ontological concept scoring algorithm based on websitedomain ontological profile helps the recommendation system imminent navigation pattern in such away that it provides required content while users browse the predicted navigation. Approach: Wepresent a ontology based approach to implement recommendation system that involves applyinginnovative web usage mining on log system to discover all possible imminent navigation patterns ofcurrent user and resolve any uncertainties in discovering the navigation pattern by applying ontologicalconcept based similarity comparison and scoring algorithm. Results: result show that novel web usagemining method and ontological concept scoring algorithm based on website domain ontological profilehelps 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 toensure excellent accuracy in predicting and capturing future navigation pattern of web user.

【 授权许可】

Unknown