Volume 16, No 1, 2019

Survey On Techniques And Features Of Dynamic Webpage Recommendation


Dr. Yachana Bhawsar

Abstract

Website content attracts people to visit on page but retention on site depends on its search and relevancy. Many of sites are working on dynamic page recommendation based on user behavior. Some of sites provide query based search to understand the user requirement and provide better solutions. This paper has provided a understanding of web page recommendation research area, its importance. Work proposed by scholars was also detailed with proposed methods. Paper has summarized some of techniques of dynamic page prediction with their pros and cons. As mining need some features before analysis or finding patterns, so paper has list some of important web mining features as well. Paper has finds evaluation parameters of webpage recommendation parameter algorithms.


Pages: 303-309

Keywords: Data mining, Feature Extraction, Page Recommendation, Web mining.

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