| 摘 要: 本文结合对原始朴素贝叶斯分类器原理的分析，论述智能助理软件的设计过程中，所需推荐算法与其之间存 在的差异性。并针对在校园收集和整合信息的特点和所需推荐方式，对原始朴素贝叶斯文本分类器算法加以修改。将得到 的校园信息智能推荐算法实现在智能助理软件中。经测试，算法具有较好的准确性。 |
| 关键词: 朴素贝叶斯分类器；校园信息提示；智能推荐算法 |
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中图分类号: TP181
文献标识码: A
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| 基金项目: 2015中国大学生创业创新训练项目，项目编号201510165006. |
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| Intelligent Recommendation Algorithm of Campus Message Based on the Naive Bayes Classifier |
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JIA Zhipeng
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( College of Computer and Information Technology, Liaoning Normal University Computer and Information, Dalian 116081, China)
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| Abstract: "Based on the analysis of the naive Bayes classifier,this paper discusses the differences between the
recommendation algorithm and the naive Bayes classifier in the design process of intelligent assistant software.According to
the characteristics of campus information collection and integration,and the required recommendation methods,the original
naive Bayes text classifier algorithm has been modified.The campus information intelligent recommendation algorithm
is implemented in the intelligent assistant software.The experimental results show that the algorithm has good prediction
accuracy." |
| Keywords: naive Bayes classifier;campus information prompt;intelligent recommendation algorithm |
