基于语义的SVM电子商务推荐模型研究 |
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引用本文: | 杨正华,曾爱华,丁雷.基于语义的SVM电子商务推荐模型研究[J].电脑与微电子技术,2014(5):9-13. |
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作者姓名: | 杨正华 曾爱华 丁雷 |
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作者单位: | [1] 吉首大学信息科学与工程学院,吉首416000 [2] 湖南省湘西自治州民族广播电视大学,吉首416000 [3] 北京林业大学经济管理学院,北京100083 |
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摘 要: | 推荐模型通常根据电子商务用户喜好和评价稀疏数据,预测客户兴趣并推荐相似结果。通过综述现有电子商务推荐算法,提出在SVM模型中,通过训练样本预测评分的方法填充用户-项目矩阵,根据各个项目的重要性对核函数相应的分量赋予相应的权重,以达到提高预测精度、产生理想的推荐效果目的。
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关 键 词: | 电子商务 支持向量机(SVM) 推荐模型 Support Vector Machine(SVM) |
Research on the Recommended Model of SVM E-Commerce Based on Semantic |
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Authors: | YANG Zheng-hua ZENG Ai-hua DING Lei |
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Affiliation: | YANG Zheng-hua, ZENG Ai-hua, DING Lei |
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Abstract: | Recommend models are usually sparse data, predict customer interest based on user preferences and evaluation of e-commerce and rec-ommend similar results. Through review of existing e-commerce recommendation algorithm, proposes in the SVM model, fills with the us-er through the training sample forecasting scoring method-project matrix, gives appropriate weight based on the kernel function corre-sponding importance of each component of the project, so as to improve the prediction accuracy, be recommended to produce the desired effect purposes. |
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Keywords: | E-Commerce Recommended Model |
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