Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Video recommendation system and method thereof

A video recommendation and video technology, applied in the information field, can solve problems such as poor flexibility, inability to predict user video categories, inability to reflect user social characteristics, etc.

Active Publication Date: 2014-04-09
SHENZHEN INST OF ADVANCED TECH
View PDF5 Cites 68 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This leads to the fact that its recommendation results cannot reflect the social characteristics of users at all, and cannot predict the potential video categories that users may like. It is not adaptable and has poor flexibility.

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
  • Video recommendation system and method thereof
  • Video recommendation system and method thereof
  • Video recommendation system and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0080] see figure 1 , figure 1 A schematic diagram of the composition of the video recommendation system 100 provided by the present invention, including: an information acquisition module 110, a data preprocessing module 120, a data storage module 130, a user characteristic analysis module 140, a social network analysis module 150, a video recommendation module 160 and a front-end display Module 170.

[0081] see figure 2 The information obtaining module 110 is used to obtain multi-source data including user personal information, user social network information and video category information....

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 provides a video recommendation system and a method thereof. The video recommendation system and the method thereof comprises: acquiring multi-source data including personal information, social network information and video classification information of users by a information acquisition module; presetting the multi-source data by a data pre-processing module; storing the multi-source data after preprocessing by a user database which is established by a data storage module; enabling an analytical module of the characteristics of users to acquire feature and mood information of the users according to microblog data sent by the users and enabling an analytical module of the social network information to analyze friend groups of the users to acquire friend circles; enabling a video recommendation module to select favorable videos of the users according to the feature, mood and friend circles; enabling a front-end display module to display the selected videos for the users.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a video recommendation system and method. Background technique [0002] Currently, there are mainly two kinds of video recommendation methods and systems. One is that the user actively selects the video category that the user likes, and then the system recommends videos of the same category according to the user's selection; the other is that based on the user's viewing history, it recommends other videos of the same category as the videos that the user has watched. [0003] The common feature of these two methods is to use the user's personal information and focus on only using their viewing information to make video recommendations, ignoring the user's gender, age, occupation, nationality, region and other important information that characterizes the user's characteristics. This has led to the excessive concentration of its recommendation results on a certain type...

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): G06F17/30
CPCG06F16/78G06F16/9535
Inventor 涂继业张涌宁立
Owner SHENZHEN INST OF ADVANCED TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com