Author:
Manas Kumar Yogi ,Ch Manikanta Kalyan ,Dwarampudi Aiswarya
Abstract
Web personalization has become such a popular paradigm nowadays, that almost all e-commerce websites are including it in their websites. The main objective of web personalization is driven by grouping similar web pages. The text categorization principle becomes a challenge when daily users visit numerous pages. This paper develops a hybrid framework which categorizes the text extracted from a web document, by applying Neighbourhood Preserving Embedding algorithm and then Particle Swarm Optimization algorithm on the extracted text groups, resulting into a group of web documents which contain similar texts. The proposed mechanism relatively has a high performance which improves with time, and as the size of web documents increase, the particle swarm algorithm also evolves in its nature.
Publisher
Inventive Research Organization
Subject
General Earth and Planetary Sciences,General Environmental Science
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