Combination of Web Page Recommender Systems

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Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Big Data
Format: PDF
World Wide Web is the biggest source of information. Though the World Wide Web contains a tremendous amount of data, most of the data is irrelevant and inaccurate from users' point of view. Consequently it has become increasingly necessary for users to utilize automated tools such as recommender systems in order to discover, extract, filter, and evaluate the desired information and resources. Web page recommender systems predict the information needs of users and provide them with recommendations to facilitate their navigation. Web content and Web usage mining techniques are employed as conventional methods for recommendation. The most common Web usage mining techniques used for recommender system are Markov models, association rules and Clustering.
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