论文标题

个性化网络搜索策略分类和比较

Personalize Web Searching Strategies Classification and Comparison

论文作者

Evtimova-Gardair, Mariya, Momtchev, Ivan

论文摘要

在语义网搜索需要查找适当信息的用户的语义Web搜索中,个性化已成为非常重要的方向。在本文中,提出了网络个性化的分类,并研究了语义网络搜索工具。构建用户兴趣概况对于个性化至关重要。如今,语义Web工具由于其优势而使用本体论进行个性化。值得一提的是,大多数语义Web搜索工具都使用代理技术进行实施。

Personalization is becoming very important direction in semantic web search for the users that needs to find appropriate information. In this paper, a classification of web personalization is proposed and semantic web search tools are investigated. Building user interest profile is essential for personalizing. Nowadays, semantic web tools use ontologies for personalization because of their advantages. It is important to mention that most of the semantic web search tools use agent technologies for implementation.

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