RETRACTED ARTICLE: A novel technique applied to the economic investigation of recommender system

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.