|
|
A Personalized Recommendation Algorithm with Temporal Dynamics and Sequential Patterns |
Li Jie1(), Yang Fang1, Xu Chenxi2 |
1School of Economics and Management, Hebei University of Technology, Tianjin 300401, China 2Jingdong Group, Beijing 100176, China |
|
|
Abstract [Objective] This study is to improve the effectiveness of merchandise recommendation based on temporal dynamics and sequential patterns of sales. [Methods] We developed an improved personalized recommendation algorithm for electronic commerce. First, we introduced a new similarity calculation function with time and hot coefficients. Then, we proposed an algorithm with the two-item sequential pattern, which modified the recommended list based on the sequential patterns. [Results] We examined the new method with book review data of Amazon.com from 2004-2005, and found its precision and F values were 1.89% and 0.73% higher than the collaborative filtering algorithm with adjusted cosine similarity. [Limitations] The proposed model did not examine the violations of consumers’ review scores. [Conclusions] Both the similarity function and sequential patterns can improve the effectiveness of personalized recommendation algorithms for e-commerce.
|
Received: 24 August 2017
Published: 15 August 2018
|
|
[1] |
李杰, 徐勇, 王云峰, 等. 面向个性化推荐的强关联规则挖掘[J]. 系统工程理论与实践, 2009, 29(8): 144-152.
doi: 10.3321/j.issn:1000-6788.2009.08.017
|
[1] |
(Li Jie, Xu Yong, Wang Yunfeng, et al.Strongest Association Rules Mining for Personalized Recommendation[J]. Systems Engineering—Theory & Practice, 2009, 29(8): 144-152.)
doi: 10.3321/j.issn:1000-6788.2009.08.017
|
[2] |
朱夏, 宋爱波, 东方, 等. 云计算环境下基于协同过滤的个性化推荐机制[J]. 计算机研究与发展, 2014, 51(10): 2255-2269.
doi: 10.7544/issn1000-1239.2014.20130056
|
[2] |
(Zhu Xia, Song Aibo, Dong Fang, et al.A Collaborative Filtering Recommendation Mechanism for Cloud Computing[J]. Journal of Computer Research and Development, 2014, 51(10): 2255-2269.)
doi: 10.7544/issn1000-1239.2014.20130056
|
[3] |
De Campos L M, Fernández-Luna J M, Huete J F, et al. Combining Content-Based and Collaborative Recommendations: A Hybrid Approach Based on Bayesian Networks[J]. International Journal of Approximate Reasoning, 2010, 51(7): 785-799.
doi: 10.1016/j.ijar.2010.04.001
|
[4] |
冷亚军, 陆青, 梁昌勇. 协同过滤推荐技术综述[J]. 模式识别与人工智能, 2014, 27(8): 720-734.
doi: 10.3969/j.issn.1003-6059.2014.08.007
|
[4] |
(Leng Yajun, Lu Qing, Liang Changyong.Survey of Recommendation Based on Collaborative Filtering[J]. Pattern Recognition and Artificial Intelligence, 2014, 27(8): 720-734.)
doi: 10.3969/j.issn.1003-6059.2014.08.007
|
[5] |
邓晓懿, 金淳, 韩庆平. 基于情境聚类和用户评级的协同过滤推荐模型[J]. 系统工程理论与实践, 2013, 33(11): 2945-2953.
|
[5] |
(Deng Xiaoyi, Jin Chun, Han Qingping.Improved Collaborative Filtering Model Based on Context Clustering and User Ranking[J]. Systems Engineering—Theory & Practice, 2013, 33(11): 2945-2953.)
|
[6] |
杨芳, 潘一飞, 李杰, 等. 一种改进的协同过滤推荐算法[J]. 河北工业大学学报, 2010, 39(3): 82-87.
doi: 10.3969/j.issn.1007-2373.2010.03.019
|
[6] |
(Yang Fang, Pan Yifei, Li Jie, et al.An Adaptive Algorithm for Collaborative Filtering Recommendation[J]. Journal of Hebei University of Technology, 2010, 39(3): 82-87.)
doi: 10.3969/j.issn.1007-2373.2010.03.019
|
[7] |
薛福亮, 刘君玲. 基于用户间信任关系改进的协同过滤推荐方法[J]. 数据分析与知识发现, 2017, 1(7): 90-99.
|
[7] |
(Xue Fuliang, Liu Junling.Improving Collaborative Filtering Recommendation Based on Trust Relationship Among Users[J]. Data Analysis and Knowledge Discovery, 2017, 1(7): 90-99.)
|
[8] |
涂海丽, 唐晓波. 基于标签的商品推荐模型研究[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
|
[8] |
(Tu Haili, Tang Xiaobo.Building Product Recommendation Model Based on Tags[J]. Data Analysis and Knowledge Discovery, 2017, 1(9): 28-39.)
|
[9] |
侯银秀, 李伟卿, 王伟军, 等. 基于用户偏好与商品属性情感匹配的图书个性化推荐研究[J]. 数据分析与知识发现, 2017, 1(8): 9-17.
|
[9] |
(Hou Yinxiu, Li Weiqing, Wang Weijun, et al.Personalized Book Recommendation Based on User Preferences and Commodity Features[J]. Data Analysis and Knowledge Discovery, 2017, 1(8): 9-17.)
|
[10] |
韦素云, 业宁, 杨旭兵. 结合项目类别和动态时间加权的协同过滤算法[J]. 计算机工程, 2017, 40(6): 206-210.
|
[10] |
(Wei Suyun, Ye Ning, Yang Xubing.Collaborative Filtering Algorithm Combining Item Category and Dynamic Time Weighting[J]. Computer Engineering, 2017, 40(6): 206-210.)
|
[11] |
Liu C C.Search Recommendation Model Based on User Search Behavior and Gradual Forgetting Collaborative Filtering Strategy[J]. Journal of China Universities of Posts and Telecommunications, 2010, 17(3): 110-117.
|
[12] |
邹永贵, 望靖, 刘兆宏, 等. 基于项目之间相似性的兴趣点推荐方法[J]. 计算机应用研究, 2012, 29(1): 116-118, 126.
doi: 10.3969/j.issn.1001-3695.2012.01.032
|
[12] |
(Zou Yonggui, Wang Jing, Liu Zhaohong, et al.Point of Interest Recommendation Method Based on Similarity Between Items[J]. Application Research of Computers, 2012, 29(1): 116-118, 126.)
doi: 10.3969/j.issn.1001-3695.2012.01.032
|
[13] |
Liu S Z, Luo Z D, Liu Y A.Spreading Code Design for Downlink Space-Time-Frequency Spreading CDMA[J]. IEEE Transactions on Vehicular Technology, 2008, 57(5): 2933-2946.
doi: 10.1109/TVT.2008.917234
|
[14] |
Resnick P, Varian H R.Recommender System[J]. Communications of the ACM, 1997, 40(3): 56-58.
|
[15] |
Koren Y.Collaborative Filtering with Temporal Dynamics[J]. Communications of the ACM, 2010, 53(4): 89-97.
doi: 10.1145/1721654.1721677
|
[16] |
宋文君, 郭强, 刘建国. 时间窗口对个性化推荐算法的影响研究[J]. 复杂系统与复杂性科学, 2015, 12(1): 28-32.
|
[16] |
(Song Wenjun, Guo Qiang, Liu Jianguo.Effect of the Time Window on the Personalized Recommendation Algorithm[J]. Complex Systems and Complexity Science, 2015, 12(1): 28-32.)
|
[17] |
邹凌君, 陈崚, 李娟. 时间加权的混合推荐算法[J]. 计算机科学, 2016, 43(11A): 451-454.
|
[17] |
(Zou Lingjun, Chen Jun, Li Juan.Time-Weighted Hybrid Recommender Algorithm[J]. Computer Science, 2016, 43(11A): 451-454.)
|
[18] |
谭黎立, 聂瑞华, 梁军, 等. 基于动态时间的个性化推荐模型[J]. 华南师范大学学报:自然科学版, 2017, 49(3): 123-128.
doi: 10.6054/j.jscnun.2017015
|
[18] |
(Tan Lili, Nie Ruihua, Liang Jun, et al.Personalized Recommendation Model Based on Dynamic Time[J]. Journal of South China Normal University:Natural Science Edition, 2017, 49(3): 123-128.)
doi: 10.6054/j.jscnun.2017015
|
[19] |
李道国,李连杰,申恩平. 基于用户评分时间改进的协同过滤推荐算法[J]. 现代图书情报技术, 2016(9): 65-69.
|
[19] |
(Li Daoguo, Li Lianjie, Shen Enping.New Collaborative Filtering Recommendation Algorithm Based on User Rating Time[J]. New Technology of Library and Information Service, 2016(9): 65-69.)
|
[20] |
覃幸新,王荣波,黄孝喜, 等. 基于多权值的Slope One协同过滤算法[J]. 数据分析与知识发现, 2017, 1(6): 65-71.
|
[20] |
(Qin Xingxin, Wang Rongbo, Huang Xiaoxi, et al.Slope One Collaborative Filtering Algorithm Based on Multi-Weights[J]. Data Analysis and Knowledge Discovery, 2017, 1(6): 65-71.)
|
[21] |
李杰,王娜娜,李志鹏,等.面向个性化交通信息服务的车辆行驶路径关联规则挖掘[J].系统工程理论与实践, 2013, 33(12): 3209-3215.
doi: 10.3969/j.issn.1000-6788.2013.12.027
|
[21] |
(Li Jie, Wang Nana, Li Zhipeng, et al.Association Rules Mining of Vehicle Routing for Personalized Traffic Information Service[J]. Systems Engineering—Theory & Practice, 2013, 33(12): 3209-3215.)
doi: 10.3969/j.issn.1000-6788.2013.12.027
|
[22] |
付沙. 基于序列模式挖掘的图书馆用户借阅行为分析[J]. 情报理论与实践, 2014, 37(6): 103-106.
|
[22] |
(Fu Sha.Analysis of Library Users Borrowing Behaviors Based on Sequential Patterns Mining[J]. Information Studies: Theory & Application, 2014, 37(6): 103-106.)
|
[23] |
Mishra R, Kumar P, Bhasker B.A Web Recommendation System Considering Sequential Information[J]. Decision Support Systems, 2015, 75(C): 1-10.
doi: 10.1016/j.dss.2015.04.004
|
[24] |
Salehi M, Kamalabadi I N, Ghoushchi M B G. Personalized Recommendation of Learning Material Using Sequential Pattern Mining and Attribute Based Collaborative Filtering[J]. Education and Information Technologies, 2014, 19(4): 713-735.
doi: 10.1007/s10639-012-9245-5
|
[25] |
郑翠翠, 李林. 协同过滤算法中的相似性度量方法研究[J]. 计算机工程与应用, 2014, 50(8): 147-149, 206.
doi: 10.3778/j.issn.1002-8331.1204-0749
|
[25] |
(Zheng Cuicui, Li Lin.Research on Method of Similarity Measurement in Collaborative Filter Algorithm[J]. Computer Engineering and Applications, 2014, 50(8): 147-149, 206. )
doi: 10.3778/j.issn.1002-8331.1204-0749
|
[26] |
Wu H C, Luk R W P, Wong K F, et al. Interpreting TF-IDF Term Weights as Making Relevance Decisions[J]. ACM Transactions on Information Systems, 2008, 26(3): 55-59.
|
[27] |
吴军. 数学之美[M]. 第2版. 北京: 人民邮电出版社, 2014.
|
[27] |
(Wu Jun.Beauty of Mathematics[M]. The 2nd Edition. Beijing: Posts & Telecom Press, 2014.)
|
[28] |
项亮. 推荐系统实践[M]. 北京: 人民邮电出版社, 2012.
|
[28] |
(Xiang Liang.Recommendation System Practice [M]. Beijing: Posts & Telecom Press, 2012.)
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|