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Recommendation method and device for interest stock, and cloud server

A recommendation method and a technology for recommending information, applied in the fields of instruments, digital data information retrieval, electronic digital data processing, etc., can solve problems such as uneven stock trading ability, failure to consider user trading habits, and failure to meet user investment expectations, etc., to meet investment requirements Habits, efficiency-enhancing effects

Pending Publication Date: 2022-01-07
苏州亿尔奇信息科技有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, users have different stock trading abilities, and their risk tolerance is also different. The traditional stock recommendation method is generally based on profit and loss fluctuations, without taking into account the user's trading habits and follow-up cover, which may cause stocks to be listed despite their book value. High yield, but at the same time there is a potential for a large amount of cash out, and it does not meet the user's investment expectations

Method used

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  • Recommendation method and device for interest stock, and cloud server
  • Recommendation method and device for interest stock, and cloud server
  • Recommendation method and device for interest stock, and cloud server

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Embodiment Construction

[0022] The present invention will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments.

[0023] figure 1 It is an interactive schematic diagram of the dividend stock recommendation system 10 provided by an embodiment of the present invention. The dividend stock recommendation system 10 may include a cloud server 100 and a user terminal 200 communicatively connected to the cloud server 100 . figure 1 The shown dividend stock recommendation system 10 is only a feasible example, and in other feasible embodiments, the dividend stock recommendation system 10 may also only include figure 1 Some of the components shown may also include other components.

[0024] In this embodiment, the user terminal 200 may include a mobile device, a tablet computer, a laptop computer, etc. or any combination thereof. In some embodiments, the mobile...

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Abstract

The embodiment of the invention provides an interest stock recommendation method and device and a cloud server. According to the embodiment of the invention, the method comprises the steps: obtaining the information of a stock held by a current shareholder in a stock market, determining the stock transaction information of a target stock in a stock type when the stock type of the information of the stock held belongs to the target stock type, then carrying out the data tracking of the stock transaction information of the target stock through a preset model, and obtaining the user stock investment behavior associated with the target stock, wherein the preset model comprises the user stock investment behaviors associated with each object in the target stock type; then determining the user stock investment behavior of the current shareholder based on the user stock investment behavior associated with the target stock, and obtaining information to be recommended according to the stock investment behavior of the user of the current shareholder, and recommending the stock to be recommended to the current shareholder. According to the scheme, the interest stock recommendation efficiency can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of stock market, in particular, to a dividend stock recommendation method, device and cloud server. Background technique [0002] In the stock market, user stock trading behavior has always been mainly determined based on stock trading experience or data recommendations. With the rise of big data technology, agency platforms use user behavior logs to mine user stock trading habits and investment preferences. However, users have different stock trading abilities, and their risk tolerance is also different. The traditional stock recommendation method is generally based on profit and loss fluctuations, without taking into account the user's trading habits and follow-up cover, which may cause stocks to be listed despite their book value. High yield, but at the same time there is a potential for a large amount of cash out, and it does not meet the user's investment expectations. Contents of the inventio...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q40/04G06K9/62
CPCG06F16/9535G06Q40/04G06F18/24G06F18/214
Inventor 顾炜
Owner 苏州亿尔奇信息科技有限公司
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