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RETRACTED ARTICLE: A novel technique applied to the economic investigation of recommender system

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This article was retracted on 20 September 2022

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Abstract

Recommender system has emerged as a new research concept in the economic field, in which a new recommend algorithm such as stock data mining plays an important role in studying the level of economic development in a region. A novel recommends method of big data analysis method based on singular value decomposition is proposed. The proposed algorithm exploits the historical data of stocks in the western region, the regional leading stock average data and volatility of individual stocks data. Then volatility charts could be gotten from data mining. The stability of the western region stock could be drawn by comparison between leading stocks and common stocks. Money flow of stocks can also be calculated by new recommender system algorithm. The experimental results show that our approach has ability to forecast the economic development of the western region by the perspective of stock data mining. It could effectively recommend investors to identify the economic development of the western region, obtaining higher returns, and avoiding unnecessary losses.

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Acknowledgements

This work was supported by Guangdong Provincial Public Research and Capacity Building Foundation funded project under Grant No. 2015A020217011, &2016A020223012, Science Foundation of Guangdong Provincial Communications Department under Grant No. 2015-02-064, the National Natural Science Foundation of China under Grant No. 61402185, and Natural Science Foundation of Guangdong Province under Grant No.2015A030313382. The authors would like to thank the anonymous reviewers and the editor for the very instructive suggestions that led to the much improved quality of this paper.

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Authors and Affiliations

  1. School of Economics, Minzu University of China, Beijing, 100081, China

    Jinfei Yang

  2. School of Computer Science, South China Normal University, Guangzhou, 510631, China

    Jiajia Li

  3. School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, 510006, China

    Shouqiang Liu

Authors
  1. Jinfei Yang
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  2. Jiajia Li
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  3. Shouqiang Liu
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Correspondence to Jinfei Yang.

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Yang, J., Li, J. & Liu, S. RETRACTED ARTICLE: A novel technique applied to the economic investigation of recommender system. Multimed Tools Appl 77, 4237–4252 (2018). https://doi.org/10.1007/s11042-017-4752-4

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