Method and system of recommending application resources

A resource and a technology of various applications, applied in transmission systems, electrical components, program control devices, etc., can solve problems such as poor results and low efficiency, and achieve the effect of improving the recommendation effect

Active Publication Date: 2014-03-19
SHANGHAI ZHANGMEN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in many applications, users need to search for interested applications through the search portal, but this method completely relies on manual operations by users, which is inefficient and ineffective

Method used

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  • Method and system of recommending application resources
  • Method and system of recommending application resources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] User groups can be divided into game groups, weather groups, shopping groups, communication groups, social groups, etc. The game group is a user group interested in game applications, the weather group is a group interested in weather applications, the shopping group is a group interested in shopping applications, and the communication group is interested in instant messaging tools or communication applications The social group is a group interested in various dating apps. Of course, the grouping of users is not limited to this, and users can be grouped into more groups, such as hotel reservation groups, air ticket or train ticket reservation groups, map or navigation groups, etc. The type of grouping can be dynamically adjusted, and the above examples are not intended Restricting the division of user groups.

[0023] The historical records of users other than typical users may not be able to directly reflect the significance of a certain user group from the proportion...

Embodiment 2

[0047] The historical record acquisition module 201 collects historical records during the use of applications by each user; the historical records include the types of applications used and at least one data in other dimensions; the applications are installed in smart TV devices;

[0048] A typical user selects the division module 202, collects statistics on the collected historical records of each user, calculates the proportion of each type of application according to the number of applications used by each user, and classifies the user into a group whose proportion is greater than the threshold A user group corresponding to a specific type of application, the user is defined as a typical user, and a user group including typical users corresponding to each specific type of application is generated;

[0049] The model training module 203 obtains the data characteristics of typical users in other dimensions in each user group respectively, and determines the group characterist...

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Abstract

The invention provides a method and system for recommending application resources. Included are the steps of collecting previous records of users using applications; conducting statistics on the collected previous records of the users, calculating the percentage of each type of application according to the number of different types of applications used by each user, including users, defined as typical users, into a corresponding user group to a particular type of application whose percentage is greater than a group threshold, and generating corresponding user groups, including the typical users, to the particular type of application; and recommending corresponding application resources to users in each user group according to a particular type of information corresponding to each user group. According to the invention, customized recommendations can be made when a user uses an application, and recommendation results are improved.

Description

technical field [0001] The invention belongs to the field of smart TVs, and in particular relates to a method and system for recommending application resources in smart TVs. Background technique [0002] With the widespread popularity of smart TVs, more and more applications have begun to land on the smart TV platform. Compared with traditional TVs and Internet TVs, smart TVs can introduce a large number of third-party applications through their own platforms. Third-party applications Contains various applications, such as e-books, games, music, communication tools, etc. These applications are stored on the server. Users can enter the application store of the server, browse various applications in the application list provided by the application store, select the target application and to download. The introduction of third-party applications expands the range of choices for users. Currently, in many applications, users need to search for interested applications through s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04N21/258G06F9/445
Inventor 杜书印闫磊
Owner SHANGHAI ZHANGMEN TECH
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