Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1317-1320

XGBoost recommendation algorithm with collaborative filtering

Qi Defa1
Xu Liancheng1
Zhu Zhenfang2
1. School of Information Science & Engineering, Shandong Normal University, Jinan 250358, China
2. School of Information Science & Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0808

Abstract

In the recommendation system, this paper proposed an XGBoost recommendation algorithm to integrate collaborative filtering based on the cold-start problem of users. Firstly, it used coarse grain to recall according to the collaborative filtering recommendation algorithm based on user similarity, and got a recall set of some users. Then it used XGBoost algorithm to predict the items in the recall set. Secondly, for users with cold-start problems, it could directly use XGBoost algorithm to predict the items in the candidate set. Finally, the algorithm used the online evaluation data set of CCIR2018 personalized recommendation evaluation, and put the recommendation results on the online platform provided by Zhihu for evaluation. The evaluation results show that the proposed algorithm can solve the cold-start problem of users with high efficiency and accuracy. It achieves remarkable recommendation effect in the online evaluation platform.

Foundation Support

国家自然科学基金资助项目(61373148)
国家自然科学基金青年基金资助项目(61502151)
山东省社科规划项目(16CXWJ01,17CHLJ18,17CHLJ33,17CHLJ30)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0808
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Algorithm Research & Explore
Pages: 1317-1320
Serial Number: 1001-3695(2020)05-007-1317-04

Publish History

[2020-05-05] Printed Article

Cite This Article

齐德法, 徐连诚, 朱振方. 融合协同过滤的XGBoost推荐算法 [J]. 计算机应用研究, 2020, 37 (5): 1317-1320. (Qi Defa, Xu Liancheng, Zhu Zhenfang. XGBoost recommendation algorithm with collaborative filtering [J]. Application Research of Computers, 2020, 37 (5): 1317-1320. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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