Method and device for recommending cold start through mobile equipment information

Abstract

The invention discloses a method and a device for recommending cold start through mobile equipment information. The method comprises the following steps of: acquiring the mobile equipment information of a user, and acquiring a mobile equipment type of the user and information of all APPs (Applications) mounted on mobile equipment through an operation system of the mobile equipment of the user; generating a recommendation list for the user, wherein the step of generating the recommendation list for the user includes the sub-steps of: producing a first recommendation list based on collaborative filtering, generating the recommendation list by taking contents which are enjoyed by other users and are similar to the mobile equipment type of the user and/or the mounted APPs in the database as recommendation contents, or producing the recommendation list based on interest label mapping, explicitly mapping the Apps to one or more interest labels, then filtering the corresponding content according to each interest label as the recommendation content to generate a second recommendation list; and recommending the contents in the first recommendation list or the second recommendation list to the user. The invention further discloses the device for recommending cold start through the mobile equipment information.

Description

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AI Technical Summary

Benefits of technology

This technology helps users find things they want by providing their own personalized data about themselves that can help them make informed decisions when it comes back up for an extended period after being hit during winter months. It doesn’t require any explicit permission from others but instead relies solely upon its mobility devices. Overall, this innovation improves efficiency over previous methods while still giving people more accurate feedback regarding what happened next at home.

Problems solved by technology

The technical problem addressed by these inventors relates to improving the performance of recommended items like music videos when relying heavily on their original user profile rather than allowing them to freely select from among different ones without revealing any personal details.

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