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interestingness

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

  • 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。
  • 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。
  • 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
  • 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。
  • 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。
  • 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。
  • 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。
  • 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
  • WWW Personalized Information Retrieval Based on Measures of Interestingness
    基于感兴趣度的WWW个性化信息发现
  • 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