A new competitive intelligence-based strategy for web page search

Issue Date

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

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015

Volume

62

Page

120-126

Document Type

Conference Paper

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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