Title :
A study and comparative analysis of web personalization techniques
Author :
Rajput, M. ; Agrawal, Rajeev ; Sharma, D.K.
Author_Institution :
Dept. of CEA, GLA Univ., Mathura, India
Abstract :
As Web is the largest collection of information; users might devote extra time period on the web outcome the appropriate data or services they are concerned with. Web personalization is to make available the clients with relevant data or facilities based on the information about the clients´ likeness. Personalization means to make a Web site additional responsive to the exclusive and specific desires or requirements of each individual customer or set of customers. This paper provides a detailed analysis of various approaches in web personalization based on different domains with their advantages and limitations. A brief comparison has been made between the different web personalization techniques based on certain parameters.
Keywords :
Web design; Web sites; Web personalization; Web site; Adaptation models; Association rules; Filtering; Fuzzy logic; Knowledge based systems; Web pages; Association rules; Interested domain; Recommendation; Web Personalization;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558301