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用户兴趣模型能够极大的提高用户利用互联网的效率。目前的兴趣模型表示方法大多只包含不同兴趣主题的内容信息,而没有对不同兴趣主题之间进行一定的重要程度区分。在传统的VSM(Vector Space Model)向量中引入了兴趣度因子,进一步提出了主题兴趣度的概念并对主题兴趣度的提取方法进行了详细描述。实验结果表明,通过该方法建立的兴趣模型,能够较好的区分用户的不同兴趣,更加符合实际。
Abstract：User profile can greatly improve user's efficiency of utilizing the Internet. Most of the current user profile expression schemes only contain the content information of different interests, however there lacks a method to differentiate the importance of different interests. Based on the others' research, in this paper interest rate is brought into the traditional VSM(Vector Space Model) vector. Also the concept of theme interest rate is raised and the calculation method of theme interest rate is introduced in detail. Experiments show that user profile established in the above way can express and differentiate user's interests well and tends to be much closer to reality.
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基本信息:
中图分类号:TP311.13
引用信息:
[1]刘鑫,张曾杰,李晓城,等.主题兴趣度提取方法及其在用户兴趣模型中的应用研究[J].微型电脑应用,2011,27(03):38-41+5.
2011-03-20
2011-03-20