Jie Zhang1,5, Juan Yang2,*, Li Wang3, Yizhang Jiang4, Pengjiang Qian4, Yuan Liu4
CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1275-1291, 2021, DOI:10.32604/cmes.2021.012112
- 19 February 2021
Abstract With the rapid development of the Internet, the amount of data recorded on the Internet has increased dramatically.
It is becoming more and more urgent to effectively obtain the specific information we need from the vast ocean
of data. In this study, we propose a novel collaborative filtering algorithm for generating recommendations in
e-commerce. This study has two main innovations. First, we propose a mechanism that embeds temporal behavior
information to find a neighbor set in which each neighbor has a very significant impact on the current user or item.
Second, we propose a novel More >
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