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.)
- they said nothing of great interest
- primary colors can add interest to a room
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 - The Interestingness Measure and its Application in Learning Guidance System
兴趣度在选课指导系统中的研究与应用 - 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。 - After introduction of some typical Web log preprocessing techniques, it is pointed out that the frame pages in a Web site can reduce the interestingness of the result page groups. Then, a frame-filtering algorithm is proposed to solve this problem.
在介绍了典型的数据预处理技术的基础上,指出Frame页面降低了挖掘结果的兴趣性,并提出相应的解决方法&Frame页面过滤算法消除其影响。 - Associative and Correlative Regular Mining Based on Interestingness and PC-tree for Medical Images Data
基于兴趣度和PC-树的医学图像数据关联且相关规则挖掘 - 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。 - 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。 - It uses interestingness threshold to filter rules in order to reduce the number of association rules, which are useless, inappropriate.
兴趣度模型采用兴趣度参数对规则进行筛选,减少关联规则的个数,去掉一些无用、不合适的规则。 - 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。 - 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。