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IPTV-based collaborative recommendation method and device, computer equipment and storage medium

A recommendation method and a recommended device technology, applied in the computer field, can solve problems such as network delay, large computing pressure, resource consumption, and inaccurate push, so as to achieve accurate push effect and reduce computing pressure and resource consumption.

Active Publication Date: 2020-04-17
广州市易杰数码科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing video recommendation algorithms are based on the recommendation algorithms calculated in the background server. When the number of users continues to increase, the number of users who need to calculate the degree of interest of the users is also increasing, which will bring more problems to the background server. In addition to heavy computing pressure and resource consumption, there are problems of network delay and inaccurate push, resulting in poor user experience and unsatisfactory recommendation effect

Method used

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  • IPTV-based collaborative recommendation method and device, computer equipment and storage medium
  • IPTV-based collaborative recommendation method and device, computer equipment and storage medium
  • IPTV-based collaborative recommendation method and device, computer equipment and storage medium

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Embodiment 1

[0052] In one embodiment, as figure 1 As shown, the present invention discloses a collaborative recommendation method based on IPTV, which specifically includes the following steps:

[0053] S10: Obtain the user's basic portrait information and the user identification corresponding to the user's basic portrait information through the front-end device.

[0054] In this embodiment, the front-end device refers to the device installed at the actual location of each user and used to connect the TV set to the back-end server. Wherein, in this embodiment, the front-end device is a set-top box. Video software for playing video is installed in the front-end device. User basic profile information refers to information about the user's personal attributes, such as occupation, age, hobbies, location information, and video preferences. User ID refers to a character string used to distinguish each user.

[0055] Specifically, when the user first uses or registers in the video software in ...

Embodiment 2

[0097] In one embodiment, an IPTV-based collaborative recommendation device is provided, and the IPTV-based collaborative recommendation device corresponds to the IPTV-based collaborative recommendation method in the above-mentioned embodiments one-to-one. Such as Figure 5 As shown, the IPTV-based collaborative recommendation device includes a user attribute acquisition module 10 , a data sending module 20 , a video collection updating module 30 and a recommendation module 40 . The detailed description of each functional module is as follows:

[0098] The user attribute acquisition module 10 is used to obtain the user basic portrait information and the user identification corresponding to the user basic portrait information through the front-end device;

[0099] The data sending module 20 is used for the front-end device to obtain the corresponding basic video recommendation set from the video cloud according to the user's basic portrait information;

[0100]Video set updat...

Embodiment 3

[0117] In one embodiment, a computer device is provided, the computer device may be a server, and its internal structure diagram may be as follows Figure 6 shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. A database of the computer device is used to store a basic set of video recommendations. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an IPTV-base...

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Abstract

The invention relates to the technical field of computer technologies, in particular to an IPTV-based collaborative recommendation method and device, computer equipment and a storage medium. The IPTV-based collaborative recommendation method comprises the steps of obtaining user basic portrait information and a user identifier corresponding to the user basic portrait information through a front-end device; enabling the front-end device to acquire a corresponding basic video recommendation set from a video cloud according to the basic portrait information of the user; enabling the front-end device to acquire user behavior data, acquire video updating data from the video cloud according to the user behavior data, and update the video updating data to the basic video recommendation set; and if the front-end device obtains the video watching request triggered by the user identifier, calculating user interest data according to the user behavior data and the user basic portrait information,and obtaining a video recommendation result from a basic video recommendation set according to the user interest data. The method has the effects of reducing the calculation pressure of the backgroundserver and improving the efficiency of recommending the video to the user.

Description

technical field [0001] The present invention relates to the technical field of computer technology, in particular to an IPTV-based collaborative recommendation method, device, computer equipment and storage medium. Background technique [0002] At present, the recommendation algorithm is an algorithm in computer science. It uses some behaviors of users and uses mathematical algorithms to speculate and calculate products, videos or other content that users may like. [0003] Most of the existing video recommendation algorithms are based on the recommendation algorithms calculated in the background server. When the number of users continues to increase, the number of users who need to calculate the degree of interest of the users is also increasing, which will bring more problems to the background server. In addition to heavy computing pressure and resource consumption, there are also problems of network delay and inaccurate push, resulting in poor user experience and unsatisf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735
CPCG06F16/735Y02D10/00
Inventor 唐朋陈维廖杰陈震史林果
Owner 广州市易杰数码科技有限公司
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