| 集成项目类别与语境信息的协同过滤推荐算法 |
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| 引用本文： | 姚忠,吴跃,常娜. 集成项目类别与语境信息的协同过滤推荐算法[J]. 计算机集成制造系统, 2008, 14(7) |
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| 作者姓名： | 姚忠 吴跃 常娜 |
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| 作者单位： | 北京航空航天大学,经济管理学院,北京,100083;国家信息中心,北京,100045 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 为改进基于项目的协同过滤推荐算法的推荐效果,在项目相似性计算时引入项目类别因素的影响,得出新的推荐算法,即基于项目类别的修正条件概率相似性,并在此基础上提出集成语境信息的多维推荐模型.通过与相关相似性、余弦相似性和修正余弦相似性的数值实验对比,证明在数据比较稀疏的情况下,改进算法所获得的推荐效果有较大提高.
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| 关 键 词： | 电子商务推荐系统 协同过滤 项目相似性 项目类别 语境信息 条件概率 数据稀疏性 |
Collaborative filtering recommender algorithm for integrating item category and contextual information |
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| YAO Zhong,WU Yue,CHANG Na. Collaborative filtering recommender algorithm for integrating item category and contextual information[J]. Computer Integrated Manufacturing Systems, 2008, 14(7) |
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| Authors: | YAO Zhong WU Yue CHANG Na |
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| Affiliation: | YAO Zhong1,WU Yue1,CHANG Na2(1.School of Economics & Management,Beihang University,Beijing 100083,China,2.State Information Center,Beijing 100045,China) |
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| Abstract: | To improve recommendation result of the item-based collaborative filtering algorithm,influence of product category in product similarity computation was introduced,and a new recommendation algorithm,i.e.Category-based Adjusted Conditional Probability similarity(CACP),was proposed.Base on this algorithm,multi-dimension recommendation model for integrated contextual information was also presented.Experiment was conducted to compare correlation similarity,cosine similarity and adjusted cosine similarity.Result... |
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| Keywords: | e-commerce recommender system collaborative filtering item similarity item category contextual information conditional probability data sparsity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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