Cross-Browser Differences Detection Based on an Empirical Metric for Web Page Visual Similarity

2018 ◽  
Vol 18 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Zhen Xu ◽  
James Miller
Keyword(s):  
Author(s):  
Toru Furusawa ◽  
Yasuyuki Watai ◽  
Toshihiko Yamasaki ◽  
Kiyoharu Aizawa

2012 ◽  
Vol 204-208 ◽  
pp. 4928-4931
Author(s):  
Yang Xin Yu

A Web information retrieval algorithm based on Web page segment is designed, the key idea of which is to segment each Web page into different topic areas or segments according to its HTML tags and contents since Web pages are semi-structure. First, the algorithm builds a HTML tag tree, and then it combines nodes in the tree under the rule of content similarity and visual similarity. During the process of retrieval and ranking, the algorithm makes full use of the segmentation information to sequence the relevant pages. The experimental results show that this method is able to improve the precision in search significantly and it is also a good reference for the design of the future search engines.


2006 ◽  
Vol 42 (4) ◽  
pp. 310-318
Author(s):  
Yasufumi TAKAMA ◽  
Keisuke NAKAHARA ◽  
Noriaki MITSUHASHI ◽  
Toru YAMAGUCHI

2005 ◽  
Author(s):  
Aaron W. Bangor ◽  
James T. Miller
Keyword(s):  

2020 ◽  
Vol 140 (12) ◽  
pp. 1393-1401
Author(s):  
Hiroki Chinen ◽  
Hidehiro Ohki ◽  
Keiji Gyohten ◽  
Toshiya Takami

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