Clustering Search Strategies: An Overview and Update [ABSTRACT]
Jinfo Blog

By Andrew Youngkin

Abstract

It's easy to find pages of results when searching using the conventional search engines, but how can researchers make sure they pinpoint the really relevant search results? Andrew Youngkin provides the answer in his review of eight clustering search engines which take a categorical approach to finding specific information.

Item

It's easy to find pages of results when searching using the conventional search engines, but how can researchers make sure they pinpoint the really relevant search results? Andrew Youngkin provides the answer in his review of eight clustering search engines which take a categorical approach to finding specific information.

What's Inside:

Clustering search engines are designed to display and organise search results in logical groups or 'clusters' based on similar traits, which allow the user to select the most relevant groups of search results and quickly home in on specific documents or web pages. Eight clustering search engines are reviewed.

---

This is a brief abstract of the full article. FUMSI subscribers can log in to MyShop at FreePint to view the full article. Others can subscribe to FUMSI now for access to the complete archive of FUMSI articles.

« Blog