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A method and system for recommending TV content based on user events

A TV content and recommendation method technology, applied in the direction of selective content distribution, electrical components, image communication, etc., can solve the problem that application users cannot download and use, and achieve the effect of solving content operation needs, precise operation, and simple methods

Active Publication Date: 2019-08-13
KONKA GROUP
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above deficiencies in the prior art, the purpose of the present invention is to provide a TV content recommendation method and system based on user events, aiming to solve the problem in the prior art that users cannot download and use the applications built into the TV

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  • A method and system for recommending TV content based on user events
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  • A method and system for recommending TV content based on user events

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Embodiment Construction

[0033] The present invention provides a TV content recommendation method and system based on user events. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] see figure 1 , figure 1 It is a flowchart of a preferred embodiment of a user event-based TV content recommendation method of the present invention, as shown in the figure, which includes steps:

[0035] S100. The TV end acquires user events of the current user;

[0036] S200. Query whether the user event exists in the recommendation strategy pre-established by the server, and the recommendation strategy defines the correspondence between the user event and the recommendation type;

[0037] S300. When the user event exists in the pre-establish...

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Abstract

The invention discloses a television content recommendation method and a television content recommendation system based on a user event. The method comprises the steps that a television side acquires a user event of a current user; the television side queries whether the user event exists in a recommendation strategy pre-established by a server side, wherein correspondences between user events and recommendation types are defined in the recommendation strategy; and when the user event exists in the recommendation strategy pre-established by the server side, the television side acquires the recommendation type corresponding to the user event from the server side, and displays a recommendation content corresponding to the recommendation type defined by the server side, wherein correspondences between the recommendation types and recommendation contents are defined in the recommendation strategy of the server side. According to the method and system provided by the invention, the problem of recommending the television content in the case of no big data and no large-scale user behavior record analysis is solved, and the content operation requirement of the television is well met. Furthermore, the television content recommendation method provided by the invention is simple, easy to implement, and precision in operation.

Description

technical field [0001] The present invention relates to the technical field of television content recommendation, in particular to a method and system for recommending television content based on user events. Background technique [0002] Today, when the era of big data is coming, more and more products are beginning to rely on big data. They use big data to obtain user behavior habits, use big data to analyze user needs, and use big data to push various content to users. . However, the accumulation of user data cannot be accumulated and analyzed in a short period of time. At the beginning of the establishment of big data, how should we push content to users and realize our operational needs when there is no big data to operate? [0003] At present, smart TVs have become popular, and the ones that can attract users to buy are basically smart TVs. The built-in applications of smart TVs are limited due to memory space and operational needs. The built-in applications in the f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/466H04N21/442
CPCH04N21/44222H04N21/4668
Inventor 周胜杰
Owner KONKA GROUP