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首页> 外文期刊>Journal of computational and theoretical nanoscience >Extracting the User's Interests by Using Web Log Data Based on Web Usage Mining
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Extracting the User's Interests by Using Web Log Data Based on Web Usage Mining

机译:根据Web使用挖掘使用Web日志数据提取用户的兴趣

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摘要

The proposed research work focuses on Web Usage Mining. In this research work extraction of users interests from web log data can be done, which are based on visit time and visit density which can be obtain from an analysis of web users web log data. Also, this research work will focus on updating user's interests. Moreover, we will also discuss the technological challenges to provide personalization and examine new developments in data mining and its applications to personalization, including techniques to support clustering and searching in a very high dimensional data space with huge amount of data.
机译:拟议的研究工作侧重于网络使用挖掘。 在这项研究中,可以从网络日志数据中提取用户的利息,这是基于访问时间和访问密度,可以从Web用户网日志数据的分析中获得。 此外,这项研究工作将侧重于更新用户的兴趣。 此外,我们还将讨论提供个性化的技术挑战,并研究数据挖掘的新发展及其对个性化的应用,包括支持聚类和在非常高的数据空间中搜索大量数据的技术。

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