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

• Mining Optimized Support and Interestingness Quantitative Association Rules
  挖掘支持度和兴趣度最优的数量关联规则
• For objective measure the interestingness of association rules is first defined on the basis of the support and confidence of association rules and the interestingness of association rules is then eval-uated accordingly.
  在关联规则的置信度和支持度基础上对关联规则的有趣性的客观评测增加了约束。
• After analyzing the quantitative association rules and interestingness of association rules which are encountered often in distributed association rule mining, the dissertation proposes the methods of changing the quantitative attributions into bool attributions using FCM and Gene algorithm.
  并且，在分析和研究了分布式关联规则挖掘中常见的数量型关联规则、关联规则的兴趣度问题的基础上提出了数量关联规则的聚类划分方法以及兴趣度过滤方法。
• Those of us who tell ourselves we are curious about the world are actually swimming in evidence that has been filtered again and again in favour of interestingness.
  我们当中那些告诉自己我对世界充满好奇的人，其实是遨游在证据的海洋中，而这些证据早已经过一次又一次过滤，使其有意思。
• 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。
• After adding the subjective factors, it further improves the interestingness of the rules and reduces lots of unwanted or rubbish rules.
  增加主观性因素后能进一步提高规则的有趣性，减少一些无用，垃圾规则。
• At the same time, a new objective interestingness function, which can measure the novelty and simplicity of linguistic value association rules, is given to reduce workload of selecting the interesting linguistic value association rules.
  同时，给出一个能够度量语言值关联规则简洁性和新奇性的客观关注程度（兴趣度）的计算函数，用于减少选取关注语言值关联规则的工作量。
• WWW Personalized Information Retrieval Based on Measures of Interestingness
  基于感兴趣度的WWW个性化信息发现
• Defining interestingness and putting forward new algorithm of mining association rules including negative items.
  定义兴趣度，提出挖掘含负属性项关联规则算法。
• 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。