A new competitive intelligence-based strategy for web page search

Issue Date

2-2015

Abstract

Search Engine Optimization (SEO) is a collection of techniques that allow a site to get more traffic from search engines. Page Ranking is the fundamental concept of SEO and defines as a weighted number that represent the relative importance of the page based on the number of inbound and outbound links. In this paper, I proposed a new type of web page search which is based on the competitive intelligence. It use link-based ranking evolutionary scheme to accommodate users' preferences. I implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.

Source or Periodical Title

Procedia Computer Science

Volume

62

Page

450-456

Document Type

Article

Physical Description

tables, diagram

Language

English

Subject

Folksonomy, ICA, Linked based ICA algorithm, Linked based page ranking, Semantic webs

Identifier

doi:10.1109/ICOSC.2015.7050789.

Digital Copy

yes

Link to Full Text

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