Linking related documents: Combining tag clouds and search queries

5Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Nowadays, Web encyclopedias suffer from a high bounce rate. Typically, users come to an encyclopaedia from a search engine and upon reading the first page on the site they leave it immediately thereafter. To tackle this problem in systems such as Web shops additional browsing tools for easy finding of related content are provided. In this paper we present a tool that links related content in an encyclopaedia in a usable and visually appealing manner. The tool combines two promising approaches - tag clouds and historic search queries - into a new single one. Hence, each document in the system is enriched with a tag cloud containing collections of related concepts populated from historic search queries. A preliminary implementation of the tool is already provided within a Web encyclopaedia called Austria-Forum. © 2010 Springer-Verlag.

Author supplied keywords

Cite

CITATION STYLE

APA

Trattner, C., & Helic, D. (2010). Linking related documents: Combining tag clouds and search queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6189 LNCS, pp. 486–489). https://doi.org/10.1007/978-3-642-13911-6_34

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free