Collaborative Filtering Algorithms Based on Kendall Correlation in Recommender Systems

YAO Yu; ZHU Shanfeng; CHEN Xinmeng

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Collaborative Filtering Algorithms Based on Kendall Correlation in Recommender Systems

机译：推荐系统中基于Kendall相关的协同过滤算法。

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In this work, Kendall correlation based collaborative filtering algorithms for the recommender systems are proposed. The Kendall correlation method is used to measure the correlation amongst users by means of considering the relative order of the users' ratings. Kendall based algorithm is based upon a more general model and thus could be more widely applied in e-commerce. Another discovery of this work is that the consideration of only positive correlated neighbors in prediction, in both Pearson andKendall algorithms, achieves higher accuracy than the consideration of all neighbors, with only a small loss of coverage.

机译：在这项工作中，提出了用于推荐系统的基于Kendall相关性的协同过滤算法。肯德尔相关性方法用于通过考虑用户评分的相对顺序来测量用户之间的相关性。基于Kendall的算法基于更通用的模型，因此可以在电子商务中得到更广泛的应用。这项工作的另一个发现是，在Pearson和Kendall算法中，仅考虑正相关邻居的预测比所有邻居的考虑都获得了更高的准确性，而覆盖范围的损失很小。

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《Wuhan University Journal of Natural Sciences》 |2006年第5期|共5页
作者
YAO Yu; ZHU Shanfeng; CHEN Xinmeng;
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原文格式 PDF
正文语种 eng
中图分类自然科学总论;
关键词
Kendall correlation; collaborative filtering algorithms; recommender systems; positive correlation;

机译：Kendall相关;协同过滤算法;推荐系统;正相关;

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1. Collaborative Filtering Algorithms Based on Kendall Correlation in Recommender Systems [J] . YAO Yu, ZHU Shanfeng, CHEN Xinmeng Wuhan University Journal of Natural Sciences . 2006,第5期

机译：推荐系统中基于Kendall相关的协同过滤算法。
2. Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm [J] . Touraj Mohammadpour, Amir Massoud Bidgoli, Rasul Enayatifar, Genomics . 2019,第6期

机译：协同过滤推荐系统中的高效聚类：基于遗传算法的混合方法和引力仿真本地搜索算法
3. An empirical study of the recursive input generation algorithm for memory-based collaborative filtering recommender systems [J] . Serhiy Morozov, Hossein Saiedian International journal of information and decision sciences . 2013,第1期

机译：基于内存的协同过滤推荐系统的递归输入生成算法的实证研究
4. Collaborative Filtering Algorithms Based on Kendall Correlation in Recommender Systems [C] . YAO Yu, ZHU Shanfeng, CHEN Xinmeng Conference on Web Information System and Applications(WISA 2006); 20061019-22; Nanjing(CN) . 2006

机译：推荐系统中基于Kendall相关的协同过滤算法。
5. Data privacy preservation in collaborative filtering based recommender systems. [D] . Wang, Xiwei. 2015

机译：基于协作过滤的推荐系统中的数据隐私保护。
6. Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems [O] . Mubbashir Ayub, Mustansar Ali Ghazanfar, Zahid Mehmood, 2012

机译：对用户评级偏好行为进行建模，以提高基于协作过滤的推荐系统的性能
7. An Item-based Multi-Criteria Collaborative Filtering Algorithm for Personalized Recommender Systems [O] . Qusai Shambour, Mou’ath Hourani, Salam Fraihat 2016

机译：用于个性化推荐系统的基于项目的多标准协作滤波算法

Collaborative Filtering Algorithms Based on Kendall Correlation in Recommender Systems

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