Crowdfunding Platform Recommendation Algorithm Based on Collaborative Filtering

被引：0
|
作者：
Li, Yaming [1 ]
Liu, Jiahao [1 ]
Jin, Yuying [2 ]
Fan, Xinxin [3 ]
Wang, Bixi [4 ]
机构：
[1] Shaanxi Univ Sci & Technol, Xian 710016, Peoples R China
[2] Xian Int Studies Univ, Xian 710119, Peoples R China
[3] Univ Elect Sci & Technol China, Chengdu 610054, Peoples R China
[4] Xian Univ, Xian 710065, Peoples R China
来源：
JOURNAL OF ENGINEERING RESEARCH | 2022年 / 10卷
关键词：
Personalized recommendation; Crowdfunding platform; Machine learning; Collaborative filtering;
D O I：
10.36909/jer.ICCSCT.19487
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Crowdfunding platforms are a novel method of internet fundraising. The production of data from the crowdfunding platform has increased, but the benefits of this data have not. This has led to a state of "information overload." User-specific recommendation systems driven by data mining can play an effective role in solving this problem. This study introduces a collaborative filtering system that is driven by its end-users by fusing user input with the closest neighbor technique from machine learning. The results of this test demonstrate that the algorithm can provide useful project suggestions to those who utilize the crowdfunding site.
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页数：13
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