| 基于时间加权的协同过滤算法研究 |
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| 引用本文： | 丛晓琪,杨怀珍,刘枚莲. 基于时间加权的协同过滤算法研究[J]. 计算机应用与软件, 2009, 26(8): 120-121,140 |
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| 作者姓名： | 丛晓琪 杨怀珍 刘枚莲 |
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| 作者单位： | 桂林电子科技大学管理学院,广西,桂林,541004;桂林电子科技大学管理学院,广西,桂林,541004;桂林电子科技大学管理学院,广西,桂林,541004 |
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| 基金项目： | 广西青年科学基金资助项目 |
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| 摘 要： | 协同过滤算法是目前个性化推荐系统中应用最成功的推荐算法之一,但传统的算法没有考虑用户兴趣漂移的问题,导致推荐系统的推荐质量下降.针对这个问题,提出了基于时间加权的协同过滤算法.实验表明,改进的算法提高了推荐系统的推荐质量.
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| 关 键 词： | 协同过滤 兴趣漂移 时间权重 推荐系统 平均误差 |
ON COLLABORATIVE FILTERING ALGORITHM BASED ON TIME WEIGHT |
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| Cong Xiaoqi,Yang Huaizhen,Liu Meilian. ON COLLABORATIVE FILTERING ALGORITHM BASED ON TIME WEIGHT[J]. Computer Applications and Software, 2009, 26(8): 120-121,140 |
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| Authors: | Cong Xiaoqi Yang Huaizhen Liu Meilian |
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| Affiliation: | Department of Management;GuiLin University of Electronic Technology;GuiLin 541004;Guangxi;China |
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| Abstract: | Collaborative filtering(CF) algorithm is one of the most important technologies applied in e-commerce recommendation system.But traditional CF algorithm does not consider the problem of drifting users' interests and this makes the quality of recommendation system decreased.To solve that issue,a novel improved CF algorithm is proposed.In this algorithm each rating is assigned a weight gradually decreasing along with the time,the weighted rating is used to search the recommendation items for target users.The ... |
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| Keywords: | Collaborative filtering Interest drift Time weight Recommendation system MAE |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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