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Interactive TV program recommendation method based on collaborative filtration

A program recommendation and interactive TV technology, applied in business, equipment, analog security/charging systems, etc., can solve the problems of narrow, fixed and unsatisfactory recommendation results, and achieve the effect of reducing complexity and increasing speed

Inactive Publication Date: 2009-09-23
SUN YAT SEN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution fails to analyze and tap the user's interests, and fails to pay attention to the user's personality. Therefore, the recommendation results are relatively narrow and fixed, and the effect is not satisfactory

Method used

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  • Interactive TV program recommendation method based on collaborative filtration
  • Interactive TV program recommendation method based on collaborative filtration
  • Interactive TV program recommendation method based on collaborative filtration

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Embodiment Construction

[0026] The structure and embodiment of the present invention will be described in further detail below in conjunction with the accompanying drawings:

[0027] Such as figure 1 As shown, the interactive TV background server group consists of the following server modules:

[0028] 1. Application server module, which is responsible for the generation of EPG (Electronic Program Menu), redirection of streaming media on-demand services, sending and receiving of billing information, and communicating with recommendation servers. This module is the core part of the entire server cluster, and it is a server that directly communicates with the IPTV set-top box through HTTP or HTTPS protocol.

[0029] 2. BOSS system module, which is responsible for authentication and deduction of set-top box users, and communicates directly with the application server module. This module receives the ID of the set-top box user and the ID of the media resource from the application server module, and per...

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PUM

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Abstract

The invention discloses an interactive TV program recommendation method based on collaborative filtration. The method utilizes a project-based collaborative filtration method to correlate program contents and information contents of various programs for recommendation so as to help a user browse and search interesting contents in an EPG system more conveniently. Compared with a traditional interactive TV program correlative and recommendation mode based on indexes and search, the interactive TV program recommendation method based on the collaborative filtration is human-oriented, finds and recommends the interests of the user by analyzing ordered program records of the user, varies recommendation results as persons change, emphasizes the consideration of personal fondness of users and enables the users to obtain better service experiences on effect. In addition, compared with collaborative filtration recommendation methods based on a correlative regulation and based on the users, the invention lowers the complexity of online calculation, thereby improving the speed of obtaining the recommendation results.

Description

technical field [0001] The invention relates to the technical field of digital TV communication, in particular to an interactive TV program recommendation method based on collaborative filtering. Background technique [0002] With the emergence of digital TV two-way IP set-top boxes, rich services such as various program on demand, information query and browsing can also be presented to users through digital TV channels. However, due to the increasing number of programs and content on various interactive channels, "information trek" and "information overload" have become increasingly serious problems. When an IPTV user searches for a program of interest, they often need to use the remote controller to perform multiple cumbersome operations on the electronic program guide (EPG) interface, and it is still difficult to find the interactive program of interest. Therefore, it is a major development trend to realize the recommendation system on the interactive channel by utilizin...

Claims

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Application Information

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IPC IPC(8): H04N7/16G06Q30/00G06Q30/02
Inventor 罗笑南周轶伦
Owner SUN YAT SEN UNIV
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