RETRACTED: Framework for social tag recommendation using Lion Optimization Algorithm and collaborative filtering techniques (Retracted Article)

被引:8
作者
Wang, Tao [1 ,2 ]
Manogaran, Gunasekaran [3 ]
Wang, Minghui [1 ]
机构
[1] Sichuan Univ, Coll Comp Sci, Chengdu, Sichuan, Peoples R China
[2] Hubei Minzu Univ, Sch Sci, Enshi 445000, Peoples R China
[3] Univ Calif Davis, Davis, CA 95616 USA
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2020年 / 23卷 / 03期
关键词
Lion optimization; Feature selection; Clustering; Recommendation; Slope-one algorithm;
D O I
10.1007/s10586-019-02980-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recommendation systems have been paying attention as gaining a much important character with the growth of data mining with collaborative filtering (CF) techniques. With a specific end goal to perform better recommendation data mining and collaborative filtering methodologies are used these days. The most favourite technique behind the success of the recommendation system was collaborative filtering. CF promise the interested of an active user supported on the sentiment of users with correspondent interests. Data mining techniques lead to the reduction of huge data set into smaller data set in which all the services are similar to one another. To recommend social tag we proposed a framework that is combining the data mining techniques such as feature selection and clustering with collaborative filtering algorithms. In this paper lion optimization technique are utilized for feature selection and clustering and it was hybridized with slope one algorithm. At long last, this calculation is contrasted and slope one calculation and the execution is dissected by utilizing the measurements such as precision, recall, mean absolute error and root mean square error.
引用
收藏
页码:2009 / 2019
页数:11
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