间接行为是用户兴趣度估计的主要行为来源。
Implicit behaviors are the main source behaviors in the estimation of users' interesting degree.
同时，进一步分析不同行为所体现的不同的用户兴趣度的等级，以及不同用户行为体现不同的用户兴趣度的能力。
At the same time, the ability and the degree of how different user actions to indicate the user interest are also discussed.
MDRBR算法采用单一的规则支持度阈值进行缺省规则的挖掘，这不利于有效地挖掘出用户感兴趣的缺省规则。
MDRBR algorithm USES uniform minimum support threshold for mining default decision rules, the method can not effectively mine the interesting default decision rules to users.
国际海事局会在每年年初对上一年度在全球发生的海盗袭击事件进行统计并免费向感兴趣的用户公开。
International Marine Bureau collects the information relating to pirates attack incidents of last year and promulgates the statistics to the relevant users at the beginning of a year.
对用户行为与网页兴趣度的关系计算，则是采用建立用户行为回归方程方式，然后根据回归方程计算出用户对所浏览页面的兴趣度；
Then on the basis of the interest degree , the integrated vectorial feature files character weight is calculated by the combination of the page content data and user behavior equation.
信息过滤中用户兴趣模型的表示是影响过滤精确度的最重要的因素之一。
The representation of user profile is one of most important factors influencing the precision of information filtering.
同时本文还研究、构建了基于专业兴趣度的用户知识模型，为用户提供个性化服务，提高系统的智能性。
Meanwhile a user's knowledge model which is found on one's interest in special domain is constructed to provide personal services and improve the accuracy rate of web searching.
利用兴趣度对规则进行评价是发掘有意义规则的重要方式，文中从主观方面给出一种兴趣度评价方式以帮助用户发现更需要的规则。
Interestingness is one of important index for evaluation of rules, and a way for evaluation of subjective interestingness is introduced in this thesis to help users discovering more significant rules.
通过分析验证，改进的页面兴趣度计算方法更加合理真实地反映出用户对页面的感兴趣程度。
Analysis verifies that, the improved method of counting page interest-level could reflect the degree of users being interested in pages more veritably.
第三层利用用户兴趣信息计算产品的满意度和关注度来表现产品市场形势。
The third layer uses the satisfaction and attention degree calculated by the user interest to show the market trend of the products.
混合用户模型引入的特征兴趣度，反映了用户对特征的偏好程度，在计算用户之间相似度时更为准确。
Feature interest measure is introduced in the hybrid user model, which can reflect the degree of feature preference of users and obtain more accurate similarity between target user and the neighbors.
最后，通过实例证明了该算法挖掘效率高、挖掘效果好，挖掘结果有较高的用户感兴趣度。
Finally, it is proved by an example that the algorithm is of high efficiency, good purpose and that the...
最后，通过实例证明了该算法挖掘效率高、挖掘效果好，挖掘结果有较高的用户感兴趣度。
Finally, it is proved by an example that the algorithm is of high efficiency, good purpose and that the...
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