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Application program recommendation method, device, electronic equipment and readable storage medium

A technology of application programs and recommended methods, applied in special data processing applications, electrical digital data processing, instruments, etc., and can solve problems such as inapplicability

Active Publication Date: 2020-09-15
北京柏林互动科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present application provides an application program recommendation method, device, electronic device, and computer-readable storage medium, which can solve the problem that the existing application program recommendation method is generally applicable to the scenario when a single user wants to select an application program. Not applicable to the scenario when two users each other want to find an app that both are interested in

Method used

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  • Application program recommendation method, device, electronic equipment and readable storage medium
  • Application program recommendation method, device, electronic equipment and readable storage medium
  • Application program recommendation method, device, electronic equipment and readable storage medium

Examples

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Embodiment Construction

[0092] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and should not be construed as limiting the present invention.

[0093] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be u...

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Abstract

The invention provides an application program recommendation method, a device, electronic equipment and a computer readable storage medium, and relates to the field of application program processing.The method comprises the following steps: when a server detects the first client is in communication with a second client, obtaining first user data corresponding to the first client, and obtaining second user data corresponding to the second client, judging whether the first user data and the second user data have the same data item or not, If yes, sending the data item to the first client and the second client respectively, so that the first client and the second client display the data item. Thus, the first user and the second user can see the favorite application programs of the two parties. The communication between the two parties is promoted. The distance between the two parties is shortened. Particularly, the user experience is improved under the condition that the two parties communicate for the first time.

Description

technical field [0001] The present application relates to the technical field of application program processing, and in particular, the present application relates to an application program recommendation method, device, electronic device, and computer-readable storage medium. Background technique [0002] With the development of science and technology, terminal devices are becoming more and more intelligent. Users can install various types of applications to achieve different functions. For example, instant messaging applications realize remote instant messaging between users, and game applications The program realizes the game function of the user. [0003] Recommendations based on applications (such as games) currently on the market generally have the following types: recommendations based on big data, such as rankings; recommendations based on friend relationships, such as how many friends are playing; based on editorial layout, such as editorial recommendations; Real-t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
Inventor 刘思维周宗奇
Owner 北京柏林互动科技有限公司
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