4.6 Article Retracted Publication

被撤回的出版物: A novel technique applied to the economic investigation of recommender system (Retracted article. See SEP, 2022)

期刊

MULTIMEDIA TOOLS AND APPLICATIONS
卷 77, 期 4, 页码 4237-4252

出版社

SPRINGER
DOI: 10.1007/s11042-017-4752-4

关键词

Recommender method; Data mining; Money flow; Price fluctuations; Western region

资金

  1. Guangdong Provincial Public Research and Capacity Building Foundation [2015A020217011, 2016A020223012]
  2. Science Foundation of Guangdong Provincial Communications Department [2015-02-064]
  3. National Natural Science Foundation of China [61402185]
  4. Natural Science Foundation of Guangdong Province [2015A030313382]

向作者/读者索取更多资源

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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