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Method and apparatus for implementing stock investment recommendation

A technology for stocks and opinions, applied in character and pattern recognition, instruments, finance, etc., can solve problems affecting investor judgment and achieve high accuracy

Pending Publication Date: 2019-02-01
BEIJING QIHOO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, stock reviews on the Internet often contain a lot of noise, such as trolls and personal subjective tendencies, which seriously affect investors' judgment

Method used

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  • Method and apparatus for implementing stock investment recommendation
  • Method and apparatus for implementing stock investment recommendation
  • Method and apparatus for implementing stock investment recommendation

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Embodiment Construction

[0028] Explanation of nouns that occur in the present invention:

[0029] FM: Factorization Machine, a factorization machine, is a well-known algorithm, a machine learning algorithm based on matrix decomposition proposed by Steffen Rendle, which is widely used in classification and prediction models.

[0030] SVM: Support Vector Machine, a support vector machine, is a well-known algorithm and a common discriminant method. In the field of machine learning, it is a supervised learning model, usually used for pattern recognition, classification and regression analysis.

[0031] ARMA: Auto Regressive Moving Average, autoregressive moving average model, one of the high-resolution spectral analysis methods of the model parameter method. This method is a typical method for studying the rational spectrum of a stationary random process, and it is applicable to a large class of practical problems. Compared with the AR model method and the MA model method, it has more accurate spectrum...

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Abstract

The invention discloses a method and apparatus for implementing stock investment recommendation. The invention includes acquiring a given stock set, calculating a rise and fall probability for each stock in the stock set; according to the fluctuation probability of each stock in the stock set, one or more stocks are selected to make investment suggestions, which is convenient, quick and accurate,and can help investors to understand the market trend and stock dynamics more accurately for investors or stock market analysts to use.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and big data, in particular to a method, device, electronic equipment and computer-readable storage medium for realizing stock investment recommendation. Background technique [0002] Investors usually use search engines to find relevant value information to help them make final decisions, and most of these decision-making processes rely on human analysis, judgment and experience. In fact, stock review data in the Internet contains rich and valuable semantic information, which can help investors understand market trends and stock dynamics. Existing stock review analysis methods usually only focus on capturing the emotional polarity of stock reviews, so as to understand the macroscopic effect of stock reviews on market trends. However, stock reviews on the Internet often contain a lot of noise, such as trolls and personal subjective tendency to herd mentality, etc., which seriously affect i...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06Q40/06G06K9/62
CPCG06Q40/04G06Q40/06G06F18/2411
Inventor 王浩张晨庞旭林杜长营杨康
Owner BEIJING QIHOO TECH CO LTD
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