Reducing Web Spam using Content and Link Analysis

Authors

  • Dereck Shepherd Chikuni Department of Accounting and Information Systems, Great Zimbabwe University, Masvingo, Zimbabwe
  • Memory Manzungu Department of Accounting and Information Systems, Great Zimbabwe University, Masvingo, Zimbabwe

DOI:

https://doi.org/10.18034/4ajournal.v8i1.45

Keywords:

Web Spam, Content Analysis, Link Analysis, HITS, Spam Filters

Abstract

Techniques of search engine manipulation are increasing rapidly making the importance of anti-web spam filters evident. In this paper, we fuse content analysis metrics and link analysis algorithms to retrieve relevant documents while blocking spam pages. We compare the efficiency of the algorithm with well-known link algorithms. This implementation aims to maintain a high recall/precision ratio while using two levels of filtering. The hybrid implementation outperforms the popular HITS.

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Published

2017-12-31

How to Cite

Chikuni, D. S., & Manzungu, M. (2017). Reducing Web Spam using Content and Link Analysis. Asian Accounting and Auditing Advancement, 8(1), 18–23. https://doi.org/10.18034/4ajournal.v8i1.45

Issue

Vol. 8 No. 1 (2017): January - December

Section

Articles