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Linking Related Documents: Combining Tag Clouds and Search Queries

机译:链接相关文档:结合标签云和搜索查询

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摘要

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.
机译:如今,网络百科全书的跳出率很高。通常,用户从搜索引擎进入百科全书,并且在阅读了站点上的第一页后便立即将其保留。为了解决诸如网上商店之类的系统中的该问题,提供了易于查找相关内容的附加浏览工具。在本文中,我们提供了一种工具,该工具以可用且视觉上吸引人的方式链接百科全书中的相关内容。该工具将两种有前途的方法(标签云和历史搜索查询)组合到一个新方法中。因此,系统中的每个文档都富含标签云,其中包含从历史搜索查询中填充的相关概念的集合。该工具的初步实现已在称为“奥地利论坛”的网络百科全书中提供。

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