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An Evaluation of Personalized Web Search for an Individual User

机译:对个性化网络搜索的个人用户的评估

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Searching for information need through the World Wide Web results in a large list of search results that contain only a handful of useful pages. In such a dynamic environment it is difficult to capture the user preferences and interests without interfering with the normal activity of the user. Also finding pages on the Web that are similar to a query is an important component of modern search engines. This insight has led to the utilization of personalization and as a result a personalized environment for the user to search for their information need has been developed. To improve user searching in the World Wide Web, a system that supports user searches by learning about user preferences and by observing responses to prior search experiences aided by a new index called the User Conceptual Index (UCI) has been proposed. This paper is directly focused on the evaluation of the results of individual user's UCI based search and introduces three measures for this purpose. The UCI based search for individual user shows significant improvement in the search results, which is confirmed by traditional IR evaluation measures.
机译:通过万维网搜索信息需求需要在大量的搜索结果列表中包含仅包含少数有用页面的搜索结果列表。在这样的动态环境中,难以捕获用户偏好和兴趣而不干扰用户的正常活动。还在类似于查询的Web上找到页面是现代搜索引擎的重要组成部分。这种洞察力导致了个性化的利用,因此已经开发出用于搜索其信息的用户的个性化环境。为了改善万维网中的用户搜索,已经提出了一种通过学习用户偏好以及通过观察到被称为称为用户概念索引(UCI)的新索引来辅助的响应来研究用户搜索的系统。本文直接专注于评估各个用户基于UCI的搜索结果,并为此目的引入了三项措施。基于UCI的个人用户的搜索显示了搜索结果的显着改进,这是通过传统的IR评估措施确认的搜索结果。

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