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Method and device for providing application programs and user recommend information

A technology for application programs and recommendation information, applied in multi-programming devices, program control design, digital data information retrieval, etc., can solve problems such as affecting user experience, low acceptance probability, waste of recommendation-related resources, etc., to improve user experience. , improved experience, improved effectiveness

Active Publication Date: 2015-03-18
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since different users have different usage requirements or usage habits, the probability that the application recommended by the application recommendation scheme in the prior art is actually accepted by the user is relatively low.
This not only wastes recommending relevant resources, but also affects user experience

Method used

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  • Method and device for providing application programs and user recommend information
  • Method and device for providing application programs and user recommend information
  • Method and device for providing application programs and user recommend information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] In the first embodiment, firstly, from the perspective of the client, a method for processing application-related information is provided, see figure 1 , the method may include the following steps:

[0097] S101: Determine the user's use order information for each application program in the terminal;

[0098] In the first embodiment, the client is responsible for recording the user's use information of the application programs, and determining the order information of the user's use of each application program, and then determining the relationship between the application programs, and uploading the information to the server. The terminal collects and summarizes the information uploaded by each client, and conducts statistical analysis.

[0099] In this embodiment of the application, it is necessary to make statistics on the sequence of use of each application program in the process of using the application program by the user, and finally recommend the second or third...

Embodiment 2

[0130] As mentioned above, if a user usually uses the second application after using the first application, this sequence relationship can reflect the user's usage habits. That is to say, according to the relationship information between the application programs uploaded by the client in the embodiment of the present application, the usage habits of each user for the application programs can be counted, and further, if two users have the same or similar usage habits, then These two users may be recommended as each other's friends. Therefore, after receiving the relationship information between the application programs uploaded by each client, the server may also determine at least one second terminal user similar to the first terminal user, and send similar terminal user recommendation information. The friend recommendation based on the same or similar usage habits in this embodiment can make the recommendation result more accurate, and can effectively avoid the waste of compu...

Embodiment 3

[0137] The first and second embodiments above introduce the embodiments of the present application from the perspective of the client, and the second embodiment is introduced from the perspective of the server. see image 3 , the second embodiment provides a method for providing application recommendation information, the method may include the following steps:

[0138] S301: Receive association relationship information between application programs sent by the terminal, wherein the association relationship is determined by the terminal according to the user's sequence information on the use of each application program in the terminal;

[0139] Regarding step S301, it has already been introduced in Embodiment 1, so it will not be repeated here.

[0140] S302: Synthesize the association relationship information sent by each terminal, and determine at least one third application associated with the first application by counting the number of times the second application is deter...

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Abstract

The present disclosure provides example methods and devices of recommending application program and user recommendation information. Information of a use sequence of application programs used by a user at a terminal is determined. A correlation relationship of the application programs is determined according to the information of the use sequence. The correlation relationship of the application programs is uploaded to a server so that the server integrates the correlation relationship uploaded by each terminal to determine at least one third application program which is correlated with the first application program and sends recommendation information of correlated application program. Alternatively, at least one another user that is similar to the user is determined and recommendation information of similar user is provided. The present techniques improve an effectiveness of providing recommendation information.

Description

technical field [0001] The present application relates to the technical field of information recommendation, in particular to a method and device for providing application programs and user recommendation information. Background technique [0002] With the popularization of smart mobile terminals and the maturity of mobile Internet technology, a large number of application programs specially designed for mobile terminals and capable of taking advantage of the powerful functions of smart mobile terminals have emerged. General mobile terminal application types may include: voice value-added services (such as related voice information services), data application services (such as various instant messaging applications, mobile phone reading, mobile games, etc.), industry application services (such as mobile payment , Internet of Things, mobile banking, electronic identity, mobile positioning, etc.), etc. [0003] However, precisely because of the large number of various applica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/46
CPCG06F17/30595G06F9/543H04L67/22G06F16/284H04L67/535
Inventor 季江胜
Owner ALIBABA GRP HLDG LTD
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