People in the Internet era have to cope with information overload and expend great effort on finding what they need.Recent experiments indicate that recommendations based on users' past activities are usually less...People in the Internet era have to cope with information overload and expend great effort on finding what they need.Recent experiments indicate that recommendations based on users' past activities are usually less favored than those based on social relationships,and thus many researchers have proposed adaptive algorithms on social recommendation.However,in those methods,quite a number of users have little chance to recommend information,which might prevent valuable information from spreading.We present an improved algorithm that allows more users to have enough followers to spread information.Experimental results demonstrate that both recommendation precision and spreading effectiveness of our method can be improved significantly.展开更多
以现有装备标准关联图谱为数据基础,应用过程描述获取方法(Integration Definition Method for Process Description Capture,IDEF3),从标准制订和修订(制修订)、标准化要素制修订、装备标准关联图谱自适应更新和标准化管控对象智能推荐...以现有装备标准关联图谱为数据基础,应用过程描述获取方法(Integration Definition Method for Process Description Capture,IDEF3),从标准制订和修订(制修订)、标准化要素制修订、装备标准关联图谱自适应更新和标准化管控对象智能推荐4个方面构建了装备标准化管控过程模型。从标准重要性计算、标准自动摘要2方面研究了装备标准化管控对象智能推荐的核心算法,并通过实例进行了验证分析,结果表明算法有效可行。展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos 61003231 and 60903073.
文摘People in the Internet era have to cope with information overload and expend great effort on finding what they need.Recent experiments indicate that recommendations based on users' past activities are usually less favored than those based on social relationships,and thus many researchers have proposed adaptive algorithms on social recommendation.However,in those methods,quite a number of users have little chance to recommend information,which might prevent valuable information from spreading.We present an improved algorithm that allows more users to have enough followers to spread information.Experimental results demonstrate that both recommendation precision and spreading effectiveness of our method can be improved significantly.
文摘以现有装备标准关联图谱为数据基础,应用过程描述获取方法(Integration Definition Method for Process Description Capture,IDEF3),从标准制订和修订(制修订)、标准化要素制修订、装备标准关联图谱自适应更新和标准化管控对象智能推荐4个方面构建了装备标准化管控过程模型。从标准重要性计算、标准自动摘要2方面研究了装备标准化管控对象智能推荐的核心算法,并通过实例进行了验证分析,结果表明算法有效可行。
