interestingness

英

美

网络  趣味性; 有趣的; 兴趣度; 有趣性; 兴趣性

英英释义

noun

• the power of attracting or holding one's attention (because it is unusual or exciting etc.)
  1. they said nothing of great interest
  2. primary colors can add interest to a room
  Synonym:interest

双语例句

• On the other hand, the ironic language enhances the readability, interestingness and perceptibility of the novel, and provides a fresh aesthetic pleasure to the reader.
  另一方面，反讽式的语言增强了小说的趣味性和可读性，提高了小说的可感性，并使读者获得新的审美愉悦。
• A m_d distance measure for evaluating the subject interestingness of data warehouse
  评估数据仓库主题兴趣度的Md距离测度方法
• A measure of Association Rule Interestingness
  关联规则兴趣度的度量
• As an important photoelectric exposure, field emission properties of III nitride semiconductors have attracted widely interestingness of researchers.
  而III族氮化物半导体场发射研究作为其光电特性的重要研究方向，引起了人们广泛关注。
• Interestingness Research of Association Rules in Incremental Mining Data
  兴趣度在增量的关联规则挖掘中的研究
• WWW Personalized Information Retrieval Based on Measures of Interestingness
  基于感兴趣度的WWW个性化信息发现
• The experiment shows that interestingness could reduce the number of rules while no interestingness could achieve optimal result for all data sets. Lastly, associative classification is used in electronical recommendation system.
  实验结果表明兴趣度可减少规则的数量但没有一个兴趣度对于所有数据集都能够达到最优的分类效果。最后，本文将关联分类应用于电子商务推荐系统中。
• In order to find the useful association rules, the interestingness of mining association rules is discussed.
  关联规则挖掘中的有趣性问题可从客观和主观两个方面对关联规则的兴趣度进行评测。
• At the same time, the users 'interested changes are tracked dynamically according to the reading actions, and the interesting ontological profile is submitted, then the measure of interestingness is analyzed and calculated.
  再借助精细语义逐句解读其内容，提取用户所关注的信息.根据用户的阅读行为动态了解用户的兴趣变化，建立用户兴趣的本体模型，并分析和定义了用户兴趣度的度量。
• The current personalized recommendation system is based on the correlation ship between users and products, that is, it predicts the interestingness of users to products according to the existing consuming behavior or the evaluations and recommend personally.
  当前个性化推荐系统是基于用户和产品之间的相关关系，即通过用户已有的购买行为或对产品的评价来预测用户对待推荐产品的兴趣度，进而进行个性化商品推荐。