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Reseach Article

Survey on Different Ranking Algorithms Along With Their Approaches

by Nirali Arora, Sharvari Govilkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 10
Year of Publication: 2016
Authors: Nirali Arora, Sharvari Govilkar
10.5120/ijca2016908514

Nirali Arora, Sharvari Govilkar . Survey on Different Ranking Algorithms Along With Their Approaches. International Journal of Computer Applications. 135, 10 ( February 2016), 1-5. DOI=10.5120/ijca2016908514

@article{ 10.5120/ijca2016908514,
author = { Nirali Arora, Sharvari Govilkar },
title = { Survey on Different Ranking Algorithms Along With Their Approaches },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 10 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number10/24082-2016908514/ },
doi = { 10.5120/ijca2016908514 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:35:23.194399+05:30
%A Nirali Arora
%A Sharvari Govilkar
%T Survey on Different Ranking Algorithms Along With Their Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 10
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Searching becomes a normal behavior of our life. Billions of users communicate with search engines daily. They are checking links of results, click on the ads, spend time on pages to restructure their queries and perform other actions. These interactions may concern some of the valuable source of information for tuning the content. There are massive web pages on the internet and search engines also have a test to find the best ranked pages. This paper provides a survey on different ranking algorithms such as link based ranking, content based ranking and usage based ranking and presents a comparative analysis on performance of these algorithms.

References
  1. Magdalini Eirinaki,Michalis Vazirgiannis Usage-based page rank for web personalizationin proceedings of the fifth IEEE international conference on Data mining (ICDM ’05)
  2. Samriti Gupta,Alka Jindal Contrast of Link based Web Ranking Techniques at IEEE 2008
  3. Azam Feyznia,mohsin Kahanti A link analysis based ranking method for semantic web documents at ieee proceedings of 2010
  4. Jun fang,Lei Guo, Calculation of weight of entities in ontologies by using usage based information in ieee proceedings of 2011
  5. Mercy paul Selvan,ChandraSekar ,A.Priya Darshan Survey on web page ranking algorithms in ijca (International Journal of Computer Applications ) proceedings of 2012
  6. Guosheng Kang,JianxunLiu Active Web Service Recommendation Based on Usage History in ieee proceedings of service computing 2012
  7. Ashlesha Gupta,Ashutosh Dixit,AK Sharma Relevant document crawling with usage pattern and domain profile based page ranking in ieee proceedings of 2013
  8. P.Sudhakar,G.Poonkuzhal R.KishoreKumar A content based ranking for search engines in the IAENG proceedings of 2013
  9. Shital C Patil,RR keole Content and usage based ranking for enhancing search engine delivery 2014 in volume 3 issue 7International journal of Science and Research (IJSR)
  10. Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr, M. F. Taiba An Efficient Hybrid Usage-Based Ranking Model for Information Retrieval Systems and Web Search Engines . in ieee proceedings of 2015 6th International Conference on Information and Communication Systems (ICICS)
  11. “Metasearch engines and Information retrieval :Computational Complexity of ranking multiple search results” at fifth International Conference on Information Technology: New Generation 2008.1
  12. “Introduction to Information Retreival” (Html) Cambridge University press 2008
  13. “A Query Dependent Approach to Learning to Rank for Information Retrieval” for the Ninth International Conference on Web Age Information Management 2008.35
  14. Mandar kale,P Santhi Thelangam on Efficient Calculation of Page Rank in International Conference on Computer Science and Information Technology 2008
  15. Xiangi ,Chen Ding on QOS Based Ranking For Web Search in International Conference on Web Intelligence and Intelligent Agent technology 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Information retrieval Content based ranking Usage based ranking Link based ranking Web Mining Page Rank Algorithms