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A Review of Web Personalization and Recommendation for Making Decision using Sequential Pattern


Kuldeep Singh Rathore , MITS, Gwalior; Sanjiv Sharma, MITS, Gwalior


Data Mining, Web Usage Mining, Sequential Pattern Mining, Web Personalization, Recommender System


Data mining is the field that has been used to mine related data in an appropriate manner. The development of web has generated a big issue for directing the client to the website pages in their area of interest. Accordingly, just option is to capture the intuition of the client and provide them a list of recommendation. Web usage mining is used to mine knowledge based on the user log. Sequential mining is the using data mining methods process to a sequential database for the discovering purposes the correlation relationships that occur among an ordered events list. The recommendation is web usage mining application. Web personalization is any action that amends the services or data offered through a Web site. Web personalization goals is to recommend the most related resources to a user at the time of a particular time period through analyzing the periodic access patterns of the user from the web usage logs. This paper gives a brief description on data mining, and the applications of web mining, concepts algorithm and web personalization and previously work done.

Other Details

Paper ID: IJSRDV4I50222
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 186-192

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