Web Usage Data based Web Page Recommender System

  Prof. Mehul Barot,  Dr. Kalpesh H. Wandra,  Dr. Samir B. Patel

The World Wide Web store, share and distribute information on very large scale. There are large number of internet users on the web who are facing many problems like, information overload due to the significant and rapid growth in the amount of information and the number of users. There is a concern regarding, how to provide web users with the more accurate and exactly needed information. Web mining addresses this critical issue in web applications by extracting such interesting pattern or knowledge from web data. Web Mining is classified into three types widely known as web content mining, web structure, and web usage mining. Web usage mining is the process of extracting useful knowledge from the available server logs. This useful knowledge can be applied to target marketing and in designing of web portals. It also leads to providing information that is useful for improving the services offered by web portals, ease of information access and retrieval tools. In this paper, we propose a new approach for web page recommendation along with user profile generation. The approach makes use of evolutionary biclustering technique for web page recommendation. Different datasets have been used for performing data mining operations, one is clickstream data and other used is web access log file of Kadi Sarva Vidhyalaya (KSV) University. The outcome of the approach using optimal biclusters and evolutionary biclustering techniques have been analyzed in this paper and the outcome shows that, almost all records of the database are used and accurate results are generated. This result is further useful for making good strategic decision in the applications like target marketing and direct marketing.

Keywords- Web Mining, Usage Mining, Recommender system, Target Marketing, Biclustering

Unique Identification Number - IJEDR1702278
Page Number(s) - 1769-1775
Pubished in - Volume 5 | Issue 2 | June 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Prof. Mehul Barot,  Dr. Kalpesh H. Wandra,  Dr. Samir B. Patel,   "Web Usage Data based Web Page Recommender System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1769-1775, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702278.pdf