Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 5 , 2022
Vision Based Analytics and Optimization of Web Pages (V-Lytics)

Author : V.Varsha Rohini 1 P.R.Shreya 2 Dheeksha S 3 E.Nithya 4

Date of Publication :7th March 2016

Abstract: Web analytics is the measurement, collection and analysis of webpage data for optimizing web usage and information delivery. However most of web analytics tool limits itself to page statistics and user metrics but does not provide key design inputs for information optimization. This paper aims at extending the scope of web analytics to provide statistics and analysis of each segment of a page, usage of space and the concentration of links in a webpage and its user metrics to help in proper design of the content displayed in a page by using Vision Based Page Segmentation (VIPS) algorithm. The visual block tree which divides a webpage into visual blocks or segments helps us understand the usage of each segment in a page and its content and thereby extending the scope of Web page segment analytics to dynamic web pages and deep web pages. This technique provides us the visibility of the user interaction with the webpage and helps us to place the information in the appropriate segments of the webpage and also effectively manage space in a page and the concentration of links.

Reference :

    1. VIPS: a Vision-based Page Segmentation Algorithm (2003);Deng Cai , Shipeng Yu , Ji-rong Wen , Wei-ying Ma , Deng Cai , Shipeng Yu , Ji-rong Wen , Wei-ying Ma VIPSDEMO http://www.cad.zju.edu.cn/home/dengcai/VIPS/VIPS.html

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