Information recommendation method, device, apparatus and medium

A technology for information recommendation and transaction information, applied in the Internet field, can solve the problem of low accuracy of recommendation methods

Inactive Publication Date: 2019-01-15
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] The embodiment of the present invention provides an information recommendation method, device, equipment

Method used

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  • Information recommendation method, device, apparatus and medium
  • Information recommendation method, device, apparatus and medium
  • Information recommendation method, device, apparatus and medium

Examples

Experimental program
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Embodiment Construction

[0089] Currently, there are mainly two recommendation methods for popular industries:

[0090] The first method: a popular industry recommendation method based on historical yields. This method is mainly to determine the growth rate of each industry based on the historical rate of return, and select a set number of industries as popular industries in order of the growth rate from high to low and recommend them to users.

[0091] The second method: a popular industry recommendation method based on historical rotation rules. This method mainly uses the frequent itemset algorithm to determine the historical rotation law of popular industries, and according to the determined historical rotation law, determine the popular industries and recommend them to users.

[0092] Obviously, the popular industries recommended to users by using the current two popular industry recommendation methods are all obtained based on a single historical rate of return or historical rotation law, which...

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Abstract

The invention discloses an information recommendation method, a device, an apparatus and a medium, which are applied in the technical field of the Internet, and are used for solving the problem of lowaccuracy of the information recommendation method in the prior art. Specifically, calling the industry data analysis process to analyze the first historical transaction data corresponding to each industry, we can get a number of industries with herding effect and as an alternative industry; invoking a type data analysis process to analyze the second historical transaction data corresponding to each candidate industry to obtain the number of the designated type constituent stocks contained in each candidate industry; selecting and displaying hot sectors based on the number of specified types of constituent stocks each of the alternate sectors contains. In this way, according to the herding effect and the number of the specified types of constituent stocks to select hot industries, so thatthe selected hot industries not only meet the current industry investment trends, but also meet the set requirements, thus improving the accuracy of the hot industry recommendation.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to an information recommendation method, device, equipment and medium. Background technique [0002] With the continuous development of Internet technology, personalized recommendation has become a research hotspot in various fields. In the field of securities, in order to provide users with stock investment references and realize functions such as smart stock selection and smart stock diagnosis, the recommendation of popular industries came into being. [0003] At present, most popular industry recommendation methods only use historical yield rankings or historical rotation rules to predict popular industries and recommend them to users, which will cause problems such as low accuracy of popular industries recommended to users. Contents of the invention [0004] Embodiments of the present invention provide an information recommendation method, device, equipment, and ...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06F16/9535
CPCG06Q40/04
Inventor 傅桔选尹方亮郭锐
Owner TENCENT TECH (SHENZHEN) CO LTD
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