A Novel Page Ranking Mechanism Based on User Browsing Patterns

2018 ◽  
pp. 37-49
Author(s):  
Shilpa Sethi ◽  
Ashutosh Dixit
Keyword(s):  
Page Ranking ◽  
Ranking Mechanism

Website Topology Modification with Hotlinks Using Mined Webusage Knowledge

2017 ◽  
pp. 194-204
Author(s):  
Thendral Puyalnithi ◽  
Madhu Viswanatham V
Keyword(s):  
Vital Role ◽  
Tree Topology ◽  
Frequent Pattern ◽  
Web Pages ◽  
Frequent Patterns ◽  
Page Ranking ◽  
Frequent Pattern Tree ◽  
Ranking Mechanism ◽  
The Web ◽  
Topology Modification

The hotlinks are the special links introduced in the website to reduce the time to access certain webpages in a webpage that is present in the deeper levels of the topology. Hotlinks selection mechanism plays a vital role in quick access of webpages. The problem is to decide which webpage should be having hotlinks and where the hotlinks should be placed in the website tree topology. We have proposed a methodology which starts by finding the frequent webpage access pattern of visitors of the website. The frequent pattern is found using Associative mining, Apriori algorithm or Frequent Pattern Tree algorithm. Then the frequent patterns are passed through page ranking mechanism. We find the pattern which is having the highest priority. Then the hotlinks are created for the members (webpages hyperlinks) of the pattern. Thus, the work is about assigning hotlinks for a set of pages which are frequently visited. Thus, by updating the topology by introducing hotlinks we can reduce the time to access the web pages.

Incremental Refinement of Page Ranking of Web Pages

2020 ◽  
Vol 10 (3) ◽  
pp. 57-73
Author(s):  
Prem Sagar Sharma ◽  
Divakar Yadav
Keyword(s):  
Information Retrieval ◽  
Web Pages ◽  
Web Based ◽  
Query Log ◽  
Large Size ◽  
Retrieval Systems ◽  
Page Ranking ◽  
User Query ◽  
Information Retrieval Systems ◽  
Ranking Mechanism

Web-based information retrieval systems called search engines have made things easy for information seekers, but still do not provide guarantees about the relevance of the information provided to the users. Information retrieval systems provide the information to the user based on certain retrieval criteria. Due to the large size of the WWW, it is very common that a large number of documents get identified related to a particular domain. Therefore, to help users towards finding the best matching documents, a ranking mechanism is employed by the search engine. In this article, an improved architecture for an information retrieval system is proposed. The proposed system makes a query log for each user query and stores the results retrieved to the user for that query. The system also provides relevant results by analyzing the content of the pages retrieved for the user query.

A Novel Page Ranking Algorithm Based on Social Annotations

2010 ◽  
Vol 33 (6) ◽  
pp. 1014-1023 ◽  
Author(s):  
Kai-Peng LIU ◽  
Bin-Xing FANG
Keyword(s):  
Ranking Algorithm ◽  
Page Ranking ◽  
Social Annotations

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 Approaches of Page Ranking Algorithms: Review

2013 ◽  
Vol 82 (2) ◽  
pp. 31-38
Author(s):  
Nripendra NarayanDas ◽  
Ela Kumar ◽  
Sheetal Sheetal
Keyword(s):  
Ranking Algorithms ◽  
Page Ranking
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