International Journal of Applied Engineering Research
  • Year: 2010
  • Volume: 5
  • Issue: 3

Retrieval of User Profiles by using Web Mining Techniques

  • Author:
  • M. Gayathri1, M. Venkata Krishna Reddy2, P.V.S. Srinivas3
  • Total Page Count: 6
  • Page Number: 517 to 522

1Dept. of CSE, JPNES Group of Institutions, Mahabubnagar, AP-509 001.

2Dept. of CSE, Jaya Prakash Narayan College of Engineering, Mahabubnagar, AP-509 001.

3Dept. of CSE, Jaya Prakash Narayan College of Engineering, Mahabubnagar, AP-509 001.

Abstract

A good and effective Customer Relationship Management (CRM) needs clear understandings of customer requirements. The management should have up to date needs of the customers, and accordingly they should act. Gathering information about the web user (customer) profiles and analysis of the profiles is not so easy for the large data. For example, Nokia site is developed to search exact cell phone models based on the customer interests. If they analyze all the user profiles they can know the most wanted cell phone model. Analyzing web user profiles and making decisions and predictions are possible with data mining techniques. We aim to analyze and track the web user profiles.

Keywords

CRM