Domain-Based Dynamic Ranking-Reference-Cited by-同舟云学术

Domain-Based Dynamic Ranking

Published:2015 Issue: Volume: Page:262-279
ISSN:2327-3453
Container-title:Advances in Systems Analysis, Software Engineering, and High Performance Computing
language:
Short-container-title:

Author:

Guha Sutirtha Kumar¹,Kundu Anirban²^ORCID,Dattagupta Rana³

Affiliation:

1. Seacom Engineering College, India

2. Netaji Subhash Engineering College, India

3. Jadavpur University, India

Abstract

In this chapter a domain based ranking methodology is proposed in cloud environment. Web pages from the cloud are clustered as ‘Primary Domain' and ‘Secondary Domain'. ‘Primary' domain Web pages are fetched based on the direct matching with the keywords. ‘Primary Domain' Web pages are ranked based on Relevancy Factor (RF) and Turbulence Factor (TF). ‘Secondary Domain' is constructed by Nearest Keywords and Similar Web pages. Nearest Keywords are the keywords similar to the matched keywords. Similar Web pages are the Web pages having Nearest Keywords. Matched Web pages of ‘Primary' and ‘Secondary' domain are ranked separately. A wide range of Web pages from the cloud would be available and ranked more efficiently by this proposed approach.

Publisher

IGI Global

Reference13 articles.

1. Graph-based ranking algorithms for e-mail expertise analysis

2. Further Experiments on Collaborative Ranking in Community-Based Web Search

3. Ranking Model Adaptation for Domain-Specific Search

4. SVM and AdaBoost Based Ranking Model Adaptation for Domain Specific Search.;L.Greeshma;International Journal of Advanced Research in Computer and Communication Engineering,2013

5. Guha, S. K., Kundu, A., Bhadra, S., & Dattagupta, R. (2013). Dynamic Web-page Ranking of Search Engine using Importance Increasing Factor. International Journal of Digital Content Technology and its Applications, 7(12), 28-39.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cloud Based e-Feedback Services Using Performance Analysis: A Linear Approach;Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII;2021