| 融合位置相似性度量的快消品电商网站推荐算法 |
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| 引用本文： | 王晨阳,刘垣,郭李华,肖琳.融合位置相似性度量的快消品电商网站推荐算法[J].福建工程学院学报,2017,0(6):586-590. |
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| 作者姓名： | 王晨阳 刘垣 郭李华 肖琳 |
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| 作者单位： | 福建工程学院信息科学与工程学院 |
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| 摘 要： | 提出一种融合位置相似性度量的协同过滤推荐算法（CF-FLSM）。算法融合位置相似性度量进行加权计算用户间的兴趣相似度，从而为目标用户产生推荐结果。将CF-FLSM应用于一个具体的快消品电商网站，得出的推荐结果与传统使用余弦相似性的协同过滤推荐算法（CF）相比，精确率和召回率分别提高了3.74%和3.91%。
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| 关 键 词： | 推荐系统 协同过滤 位置服务 电子商务 快消品 |
An FMCG e-commerce website recommendation algorithm with the fusion of location similarity measurement |
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| Wang Chenyang,Liu Yuan,Guo Lihua,Xiao Lin.An FMCG e-commerce website recommendation algorithm with the fusion of location similarity measurement[J].Journal of Fujian University of Technology,2017,0(6):586-590. |
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| Authors: | Wang Chenyang Liu Yuan Guo Lihua Xiao Lin |
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| Institution: | School of Information Science and Engineering, Fujian University of Technology |
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| Abstract: | A collaborative filtering recommendation algorithm with the fusion of location similarity measurement (CG-FLSM) was proposed. This algorithm integrated location similarity measurement to compute preference similarity between users, thus generating recommendation results for the target user. Finally the CF-FLSM was applied to a specific FMCG e-commerce website, and experimental results showed that, compared with the traditional collaborative filtering recommendation algorithm (CF) using cosine similarity, its precision rate and recall rate were increased by 3.74% and 3.91% respectively. |
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| Keywords: | recommendation system collaborative filtering location-based service e-commerce fast moving consumer goods(FMCG) |
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