An Attractive Force Model for Weighting Links in Query-Dependant Web Page Ranking

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
Xinyue Liu ◽  
Hongfei Lin ◽  
Liguo Zhang
Keyword(s):  
Attractive Force ◽  
Force Model ◽  
Web Page ◽  
Page Ranking

Web Page Ranking Algorithm Based on the Meta-Information

2014 ◽  
Vol 596 ◽  
pp. 292-296
Author(s):  
Xin Li Li
Keyword(s):  
Experimental Results ◽  
High Rank ◽  
Ranking Algorithm ◽  
Web Page ◽  
Page Ranking ◽  
Two Factors ◽  
Meta Information ◽  
The Web

PageRank algorithms only consider hyperlink information, without other page information such as page hits frequency, page update time and web page category. Therefore, the algorithms rank a lot of advertising pages and old pages pretty high and can’t meet the users' needs. This paper further studies the page meta-information such as category, page hits frequency and page update time. The Web page with high hits frequency and with smaller age should get a high rank, while the above two factors are more or less dependent on page category. Experimental results show that the algorithm has good results.

Automatic Keyword Extraction Algorithm and Implementation

2010 ◽  
Vol 44-47 ◽  
pp. 4041-4049 ◽  
Author(s):  
Hong Zhao ◽  
Chen Sheng Bai ◽  
Song Zhu
Keyword(s):  
Search Engine ◽  
Word Frequency ◽  
Search Engines ◽  
Keyword Extraction ◽  
Web Page ◽  
C Language ◽  
Search Engine Optimization ◽  
Page Ranking ◽  
Extraction Algorithm ◽  
A Site

Search engines can bring a lot of benefit to the website. For a site, each page’s search engine ranking is very important. To make web page ranking in search engine ahead, Search engine optimization (SEO) make effect on the ranking. Web page needs to set the keywords as “keywords" to use SEO. The paper focuses on the content of a given word, and extracts the keywords of each page by calculating the word frequency. The algorithm is implemented by C # language. Keywords setting of webpage are of great importance on the information and products

scholarly journals An Improving Web Page Ranking based on Visit of Links with Time Factor and Cursor Movement Algorithm

IJARCCE ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 83-86 ◽  
Author(s):  
Bharat Bhushan Agarwal ◽  
Dr. Mahmoodul. Hasan Khan
Keyword(s):  
Time Factor ◽  
Web Page ◽  
Page Ranking

scholarly journals Reachability Based Web Page Ranking Using Wavelets

2015 ◽  
Vol 50 ◽  
pp. 157-162
Author(s):  
S. Hariharan ◽  
S. Dhanasekar ◽  
Kalyani Desikan
Keyword(s):  
Web Page ◽  
Page Ranking

Introducing Link Based Weightage for Web Page Ranking

2015 ◽  
Vol 5 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Sutirtha Kumar Guha ◽  
Anirban Kundu ◽  
Rana Duttagupta
Keyword(s):  
Measurement Technique ◽  
Web Pages ◽  
Web Page ◽  
Page Ranking ◽  
The Web

In this paper the authors are going to propose a new rank measurement technique by introducing weightage factor based on number of Web links available on a particular Web page. Available Web links are considered as an important importance indicator. Distinct weightage factor is assigned to the Web pages as these are calculated based on the Web links. Different Web pages are evaluated more accurately due to the independent and uniqueness of weightage factor. Better Web page ranking is achieved as it depends on specific weightage factor. Impact of unwanted intruder is minimized by the introduction of this weightage factor.

Personalized Web Page Ranking Using Trust and Similarity

2007 ◽  
Author(s):  
Lara Srour ◽  
Ayman Kayssi ◽  
Ali Chehab
Keyword(s):  
Web Page ◽  
Page Ranking

An Innovative Approach of Web Page Ranking Using Hadoop- and Map Reduce-Based Cloud Framework

2017 ◽  
pp. 421-427 ◽  
Author(s):  
Dheeraj Malhotra ◽  
Monica Malhotra ◽  
O. P. Rishi
Keyword(s):  
Innovative Approach ◽  
Map Reduce ◽  
Web Page ◽  
Page Ranking ◽  
Cloud Framework

scholarly journals Energy Stability in Cloud for Web Page Ranking

2016 ◽  
pp. 621-630 ◽  
Author(s):  
Sutirtha Kumar Guha ◽  
Anirban Kundu ◽  
Rana Dattagupta
Keyword(s):  
Energy Stability ◽  
Web Page ◽  
Page Ranking
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