• 模式识别与软件技术(Pattern recognition a • 上一篇 下一篇
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摘要： 为了帮助社交网中新成员寻找与之最为合适的社交圈，尝试采用动态贝叶斯网（DBN）理论解决社交网分析应用中成员（节点）与社交圈（集合）的匹配问题。将圈内成员个人的多项兴趣爱好程度作为描述社交圈基本属性的特征向量，对每一类圈子建立了带有辅助信息形式的DBN模型，求解最大输出概率即为最佳匹配对象。结果表明，在客观测试和主观评价两方面，该模型都收到了较为满意的结果。
