Business recommendation method and device

A business recommendation and program technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of insufficient user personalization characteristics and narrow recommendation results.

Inactive Publication Date: 2015-05-27
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of recommendation technology is independent of each user, each user gets the same recommendation, does not fully tap the user's personalized characteristics, and the

Method used

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  • Business recommendation method and device
  • Business recommendation method and device
  • Business recommendation method and device

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Embodiment Construction

[0064] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0065] Such as figure 1 As shown, a service recommendation method includes:

[0066] Step 11, obtaining historical programs that the user terminal has recently played in the current period;

[0067] Step 12, select a recommended program from the program cluster where the historical program is located, and push the information of the recommended program to the user terminal; wherein, the program cluster is obtained by dividing existing programs by using the static characteristics of the program;

[0068] Step 13, and / or pushing an advertisement to the user terminal; wherein, the advertisement is at least related to one program in the program cluster where the historical program is located.

[0069] This method selects recommended programs and advertisem...

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Abstract

The present invention relates to the field of interactive network television. Provided are a method and device for service recommendation. The method comprises: acquiring an earlier program that a client recently played in a current period; selecting a recommended program from a program cluster where the earlier program is located, and pushing information of the recommended program to the client, where the program clusters are acquired by division of existing programs by utilizing static characteristics of the programs; and/or pushing an advertisement to the client, where the advertisement is relevant to at least one program in the program cluster where the earlier program is located. The advertisement and program recommended per the solution of the present invention are provided with relevance and similarity to the program that the client played, and thus are of increased rationality; furthermore, the configuration of the program clusters allows a search for to-be-recommended advertisements and programs to be of increased purposiveness, thus increasing recommendation speed.

Description

technical field [0001] The invention relates to the field of interactive network television, in particular to a service recommendation method and device. Background technique [0002] In recent years, the scale of international and domestic IPTV commercial use has continued to expand, and its influence has also continued to increase. At the same time, with the improvement of people's awareness of digital, networked and streaming entertainment media and the increase in the quality of demand. With the rapid development of IPTV business, the phenomena of "information overload" and "information trek" are gradually becoming prominent. Users are often entangled in how to find programs that really meet their interests among a large number of programs, so the role of recommendation systems has become increasingly prominent. Traditional recommendation systems often use "hard" association methods, and the recommendation results provided to the current user are generally based on the...

Claims

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Application Information

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IPC IPC(8): H04N21/258H04N21/262
CPCH04N21/6582H04N21/251H04N21/6543H04N21/25891H04N21/262
Inventor 文韬
Owner ZTE CORP
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