WO2018018591A1

WO2018018591A1 - Specific method and system for recommending video advertisement

Info

Publication number: WO2018018591A1
Application number: PCT/CN2016/092235
Authority: WO
Inventors: 王晓光
Original assignee: 王晓光
Priority date: 2016-07-29
Filing date: 2016-07-29
Publication date: 2018-02-01

Abstract

A specific method and system for recommending a video advertisement. The method comprises the following steps: recording history data of a video advertisement (101); analyzing preferences of a user according to the history data (102); and controlling the video advertisement according to the preferences of the user (103). The present invention has good user experience.

Description

Specific method and system for recommending video advertisements

Technical field

The present invention relates to the field of video advertisements, and in particular, to a specific method and system for recommending video advertisements.

Background technique

Video refers to various technologies that capture, record, process, store, transmit, and reproduce a series of still images as electrical signals. When continuous image changes exceed 24 frames per second, the human eye cannot distinguish a single static image according to the principle of visual persistence; it looks like a smooth continuous visual effect, so that the continuous picture is called video. Video technology was first developed for television systems, but has now evolved into a variety of formats for consumers to record video. The development of network technology has also caused video recording segments to exist on the Internet in the form of streaming media and can be received and played by computers. Video and film belong to different technologies, and the latter uses photography to capture dynamic images as a series of still photos. A video ad is an advertisement that is presented to a customer in the form of a video.

Existing video ads cannot achieve playback control, and the user experience is low.

technical problem

A specific method for recommending video advertisements is provided, which solves the disadvantage of low user experience in the prior art.

Technical solution

In one aspect, a specific method of recommending a video advertisement is provided, the method comprising the following steps:

Record historical data for video ads;

Analyze the user's preferences based on the historical data;

Recommend this video ad based on user preferences.

Optionally, the method further includes:

Collect feedback from users on this recommendation.

Optionally, the method further includes:

Based on the feedback information, the effect of this recommendation is known.

In a second aspect, a specific system for recommending a video advertisement is provided, the system comprising:

a recording unit for recording historical data of a video advertisement;

An analyzing unit, configured to analyze user preferences according to the historical data;

The control unit is configured to recommend the video advertisement according to the user's preference.

Optionally, the system further includes:

A feedback unit is configured to collect feedback information of the user on the recommendation.

Optionally, the system further includes:

The obtaining unit is configured to learn the effect of the recommendation according to the feedback information.

Beneficial effect

The technical solution provided by the specific embodiment of the present invention records the historical data of the video advertisement, analyzes the user's preference according to the historical data, and controls the video advertisement according to the user's preference, so that it has the advantage of controlling the video advertisement.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1 is a flowchart of a specific method for recommending a video advertisement according to the present invention;

FIG. 2 is a structural diagram of a specific system for recommending video advertisements according to the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1 , FIG. 1 is a flowchart of a specific method for recommending a video advertisement according to a first preferred embodiment of the present invention. The method is implemented by a terminal device. The method is as shown in FIG. 1 , and includes the following steps:

Step S101, recording historical data of the video advertisement;

Step S102, analyzing user preferences according to the historical data;

Step S103: recommend the video advertisement according to the user's preference.

Optionally, after the step S103, the foregoing method may further include:

Collect feedback from users on this recommendation.

Optionally, after the step S103, the foregoing method may further include:

Based on the feedback information, the effect of this recommendation is known.

Referring to FIG. 2, FIG. 2 is a specific system for recommending video advertisements according to a second preferred embodiment of the present invention. The system includes:

a recording unit 201, configured to record historical data of a video advertisement;

The analyzing unit 202 is configured to analyze the user's preference according to the historical data;

The control unit 203 is configured to recommend the video advertisement according to the user's preference.

Optionally, the above system may further include:

The feedback unit 204 is configured to collect feedback information of the user for the current recommendation.

Optionally, the above system may further include:

The obtaining unit 205 is configured to learn the effect of the current recommendation according to the feedback information.

It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.

The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A specific method for recommending a video advertisement, characterized in that the method comprises the following steps:

Record historical data for video ads;

Analyze the user's preferences based on the historical data;

Recommend this video ad based on user preferences.
The method of claim 1 further comprising:

Collect feedback from users on this recommendation.
The method of claim 1 further comprising:

Based on the feedback information, the effect of this recommendation is known.
A specific system for recommending video advertisements, characterized in that the system comprises:

a recording unit for recording historical data of a video advertisement;

An analyzing unit, configured to analyze user preferences according to the historical data;

The control unit is configured to recommend the video advertisement according to the user's preference.
The system of claim 4, wherein the system further comprises:

A feedback unit is configured to collect feedback information of the user on the recommendation.
The system of claim 4, wherein the system further comprises:

The obtaining unit is configured to learn the effect of the recommendation according to the feedback information.