Distributed Representation for Neighborhood-based Collaborative Filtering | |
Yi Yang![]() ![]() ![]() ![]() | |
2017 | |
会议名称 | The 19th IEEE International Symposium on Multimedia(IEEE ISM 2017) |
会议日期 | 11-13 Dec. 2017 |
会议地点 | Taichung, Taiwan |
摘要 | Collaborative filtering is widely used in recommender systems. When training data are extremely sparse, neighbor selection methods work ineffectively. To address this issue, this paper proposes a distributed representation model that represents users as low-dimensional vectors for neighbor selection by considering the chronological order of users' ratings. Experiments show that the proposed method outperforms the state-of-the-art methods solving the sparsity problem with regard to precision and ranking quality. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23822 |
专题 | 数字内容技术与服务研究中心_智能技术与系统工程 |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yi Yang,Guigang Zhang,Jian Wang,et al. Distributed Representation for Neighborhood-based Collaborative Filtering[C],2017. |
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08241670.pdf(348KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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