Collaborative filtered recommendation method introducing hotness degree weight of program

A collaborative filtering and recommendation method technology, which is applied to color TV parts, TV system parts, instruments, etc., can solve the problems of inconsistency, poor accuracy of personalized recommendation technology, etc., to improve quality and make recommendations more accurate Effect

Inactive Publication Date: 2008-10-15
EAST CHINA NORMAL UNIV
View PDF0 Cites 79 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the currently used PCC calculation, it treats the items that are jointly rated by users equally, and does not distinguish the popu...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Collaborative filtered recommendation method introducing hotness degree weight of program
  • Collaborative filtered recommendation method introducing hotness degree weight of program
  • Collaborative filtered recommendation method introducing hotness degree weight of program

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0019] See attached Figure 1~2 , the present invention provides a visual menu of user ratings on the interface of the IPTV program, and makes a program recommendation list to the target user according to the user viewing time, behavior operation, and program rating data transmitted from the terminal set-top box. The specific steps are as follows:

[0020] 1. In the IPTV system, the data collection component acquires information representing user interests by tracking features such as user viewing time and behavioral operations, and stores them in corresponding database tables.

[0021] 2. The above-mentioned user behavior characteristic information is processed by the system as raw data, and the evaluation is completed on behalf of the user, and then according to the user rating information and user behavior data, the "user-item" scoring matrix A(m, n) is obtained, and the scoring values ​​from 1 to r max (that is, the scoring range is 1-5), the matrix is ​​stored on the rec...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a collaborative filtering recommendation method for introducing program popularity weighting, which is characterized in that on the interface of an IPTV program, a visual menu for users to give marks is provided and a program recommendation list is made for target users according to user watching time, conduct operation and program marking data sent by a terminal set-top box. The invention comprises the detailed steps of: collecting the behavior characteristic information of users, working out a 'user-item' scoring matrix A(m, n), calculating popularity weight value, calculating similarity degree and sorting, making forecast score for the target users and sorting, and working out the recommendation list for the target users. Compared with the prior art, the method disclosed by the invention is more in accordance with objective reality, improves the quality of collaborative filtering and the precision degree of recommendation, initiatively cuts own the programs according to user preferences and behavior characteristics, carries out personalized recommendation to the programs which the users like and realizes the purpose that 'watch the program you like whenever you want'.

Description

technical field [0001] The invention relates to an IPTV personalized recommendation system, in particular to a collaborative filtering recommendation method that introduces program popularity weights. Background technique [0002] With the rapid increase of information on the Internet, the phenomenon of so-called "information overload" and "information obsession" appeared, and the recommendation system came into being. It can find resources suitable for users' interests according to the user's operation history and feedback information. It generates personalized recommendations. Today, recommendation technology has been applied in various fields such as e-commerce, digital library, film and television entertainment, etc. Especially in the field of IPTV, with the continuous development of digital TV and communication technology, TV program resources are becoming more and more abundant. On the one hand, users are excited to watch so many programs; It is very distressing to f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N5/445H04H60/46G06Q30/00G06Q30/02H04N21/466
Inventor 顾君忠贺樑任磊夏薇薇吴发青杨静杨燕马天龙何克勤陈美华
Owner EAST CHINA NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap