PageRank algorithm and its variations: A Survey report

@article{Kumar2013PageRankAA,
  title={PageRank algorithm and its variations: A Survey report},
  author={Kaushal Kumar and F. Mukoko},
  journal={IOSR Journal of Computer Engineering},
  year={2013},
  volume={14},
  pages={38-45}
}
This survey report basically gives a comparison report on different page ranking algorithm on the basis of numerical analysis. Four popular algorithms used for this purpose PageRank, Weighted PageRank, PageRank using VOL and finally weighted PageRank using VOL. This report will give brief introduction of web mining concept because web mining is core content in page rank calculation .Many aspect related to the page ranking will be discussed by taking PageRank algorithm and its variation as a… Expand
An improvement of weighted PageRank to handle the zero link similarity
  • Sang-yeon Lee, Young-gi Kim, Seok-Jong Lee, K. Lee
  • Computer Science
  • 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)
  • 2014
TLDR
This paper proposes an improved weighted PageRank algorithm that can deal with zero inter-page similarities in Korean web pages and has been implemented using the MapReduce paradigm for big data handling, and evaluated over the Korean Wikipedia webpages and compared with two other methods. Expand
A Brief Survey of Various Page Ranking Algorithms in Web Mining
TLDR
A survey of page ranking algorithms and competition of some important ranking algorithms is presented in this paper. Expand
Page Ranking Algorithms In web Mining-A Brief Survey
TLDR
A survey of page ranking algorithms and competition of some important ranking algorithms is presented. Expand
Improvement in Weighted Page Rank Algorithm using Efficiency and Precision
Weighted Page Rank (WPR) algorithm is an extension to the standard Page Rank algorithm of Google. WPR assigns larger rank values to more important pages considering both inlinks and outgoing links ofExpand
A Survey of various Web Page Ranking Algorithms
TLDR
This paper is focused on the study of different ranking techniques and shows advantages, limitations and comparison of these techniques. Expand
Optimizing Website effectiveness using various SEO Techniques
  • Simple Sharma, Seema Verma
  • Computer Science
  • 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN)
  • 2020
TLDR
Optimized website resulted in the increase of the keyword ranking, number of users and number of sessions, and the Improved results are presented in tabular and graphical form for better analysis. Expand
ExRank: An Exploratory Ranking Interface
TLDR
ExRank is an interactive interface for exploring data that helps users understand the relationship between attribute values and find interesting items in the dataset based on a kNN graph and a PageRank algorithm. Expand
CURRENT LITERATURE REVIEW - WEB MINING
This study presents the role of Web mining an explosive growth of the World Wide Web; websites are providing an information and knowledge to the end users. This is the review paper which show deepExpand

References

SHOWING 1-10 OF 10 REFERENCES
The Research about Web Page Ranking Based on the A-PageRank and the Extended VSM
TLDR
A new rank algorithm, which is called A-PageRank, is proposed which uses both the similarity and divergence to weigh the match degree between one web page and one user query is adopted in order to increase the precision and recall rate of the search engine. Expand
A Comparative Analysis of Web Page Ranking Algorithms
TLDR
This paper deals with analysis and comparison of web page ranking algorithms based on various parameter to find out their advantages and limitations for the ranking of the web pages. Expand
Page ranking based on number of visits of links of Web page
TLDR
A page ranking mechanism called Page Ranking based on Visits of Links (VOL) is being devised for search engines, which works on the basic ranking algorithm of Google i.e. PageRank and takes number of visits of inbound links of Web pages into account. Expand
Page Ranking Algorithms: A Survey
TLDR
A survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out. Expand
Personal search engine based on user interests and modified page rank
TLDR
This paper introduces A Personal Search Engine which provides results relevant to the user's interest and depends on the degree of relevance of the document category to ensure relevant and accurate results. Expand
Web mining: Today and tomorrow
TLDR
The current, past and future of web mining is described, and online resources for retrieval Information on the web i.e. web content mining, and the discovery of user access patterns from web servers are introduced. Expand
Web Data Mining research: A survey
  • Brijendra Singh, H. Singh
  • Computer Science
  • 2010 IEEE International Conference on Computational Intelligence and Computing Research
  • 2010
TLDR
The aim of this paper is to provide past, current evaluation and update in each of the three different types of web mining i.e. web content mining, web structure mining and web usages mining and outlines key future research directions. Expand
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
  • B. Liu
  • Computer Science
  • Data-Centric Systems and Applications
  • 2006
TLDR
Liu Liu has written a comprehensive text on Web mining, which consists of two parts, where all the essential concepts and algorithms of data mining and machine learning are presented. Expand
Weighted Page Rank Algorithm Based on number of visits of links (VOL)
  • International Journal of Soft Computing and Engineering (IJSCE),
  • 2012
Web Data Mining
  • P. Fränti
  • Computer Science
  • Encyclopedia of Database Systems
  • 2009