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A mobile app cold start recommendation method based on mobile app running list

A recommended method, a technology of cold start, applied in the direction of program loading/starting, program control device, etc., can solve the problem of cold start of new items, and achieve the effect of solving the problem of cold start and good scalability

Active Publication Date: 2019-04-16
HANGZHOU YUANCHENG TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0007] In order to solve the above problems, the present invention provides an App cold start recommendation method based on the mobile App running list, which is used to solve the problem of cold start of new items on the premise that the user running list can be used for better quality recommendations. boot problem

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  • A mobile app cold start recommendation method based on mobile app running list
  • A mobile app cold start recommendation method based on mobile app running list

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Embodiment Construction

[0031] In order to further understand the present invention, the preferred embodiments of the present invention are described below in conjunction with examples, but it should be understood that these descriptions are only to further illustrate the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0032] The present invention provides an App cold start recommendation method based on the mobile App running list, which relies on the user's App running list and description information of a large number of Apps to convert frequent App items to keyword frequent items, and combine keywords and their The relationship weight is converted into a weighted undirected graph. When a new app is to be recommended, the keyword set of the app is first extracted, and the correlation relationship of the keyword set is calculated using the weighted undirected graph. Finally, the frequent items from the keyword set to the app are completed....

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Abstract

The invention relates to an App cold start-up recommending method based on a mobile app operation list and mainly relates to the fields of information retrieval and system recommendation. The method comprises the following steps of acquiring large number of app information and arranging keywords, calculating a weighing undirected graph indicating keyword relationships, and calculating and pushing the weighing undirected graph according to to-be-pushed App information. After training data is trained to form an initial model, the model can greatly recommend according to the operation list content and the cold start-up problem can be well solved; the App cold start-up recommending method has great extendibility; and deficiencies of content recommendation can be overcome to some extent.

Description

technical field [0001] The present invention relates to the fields of information retrieval, graph calculation and recommendation system, in particular to a method for solving the cold start problem of App recommendation in the recommendation system based on mobile App operation and content information through keyword calculation, information retrieval and graph calculation . Background technique [0002] The rapid development of the mobile Internet has provided the public with a variety of online and offline services, greatly enriching and facilitating daily life. At the same time, in the face of a large number of demands in social life, mobile applications with new functions continue to emerge, providing more convenient services for people's lives. When promoting Apps, in order to quickly enter the public's field of vision, the general App developers will formulate certain push strategies. However, in the current App push method, the cold start problem of new App push ha...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/445
Inventor 吴明晖刘泽民朱凡微金苍宏应晶
Owner HANGZHOU YUANCHENG TECH CO LTD
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