Recommendation method based on situation fusion sensing

A recommendation method and recommendation algorithm technology, which is applied in the field of network information, can solve problems such as low precision, and achieve the effect of improving recommendation accuracy and comprehensive recommendation factors

Active Publication Date: 2014-07-30
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the most typical application of personalized recommendation systems is in the field of e-commerce, but these recommendation systems and corresponding algorithms only focus on the two-dimensional relationship betwee

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
  • Recommendation method based on situation fusion sensing
  • Recommendation method based on situation fusion sensing
  • Recommendation method based on situation fusion sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention proposes a recommendation method based on context fusion perception. Context, also known as context, was first proposed by Shilit et al. at Columbia University. They divided context information into three categories: computing context, user context, and physical context. The computing context represents the load capacity of the network and available input and output resources, etc.; the user context represents the user's preferences and social relationships; the physical context represents the surrounding environment. This method mainly considers the physical context and user preference context.

[0033] Such as figure 1 As shown, the situational information obtained from the corresponding terminal equipment, GPS system, user behavior and other channels through the situational awareness module is stored in the situational knowledge base; relevant data such as users, items, ratings, and browsing records are collected to form an information resource...

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 recommendation method based on situation fusion sensing. The recommendation method comprises the following steps that 1, the situation is divided into physical situations and user preference situations according to the definition and the requirements of the situations; 2, a Bayes network is built through parameter learning and structure learning, and the physical situation matching degree in a certain environment is ratiocinated and calculated; 3, through considering the dynamics of hobbies and interests of users along with the time change, a time function is merged into a recommendation algorithm based on the content, and the matching degree of the user preference situation is calculated; 4, the situation matching degree is comprehensively considered, all candidate information resources are graded, and in addition, information ranking in first Top-N is recommended to target users. Compared with the prior art, the recommendation method provided by the invention has the advantages that the considered recommendation factors are more comprehensive, the method can better adapt to changeful environment, the recommendation accuracy is improved, in addition, the condition that the interest of the users is changed along with the time change is considered, the time function is combined with the recommendation based on the resource content, and the user satisfaction degree is improved.

Description

technical field [0001] The invention relates to the field of network information technology, in particular to a recommendation method based on context fusion perception. Background technique [0002] The rapid development of the Internet and the ever-increasing information resources have led to a sharp increase in the information index. The information service field is facing the problem of "rich information resources, but difficult to obtain useful information", which brings a great information burden to people. On the one hand, a large number of data resources appear on the network, leading to the phenomenon of "information overload" (information overload); on the other hand, users cannot obtain the information resources they need. Recommendation systems (recommendation systems), as an important method of serving in the "information push" mode, are the main means to solve the problem of information overload. For information that is difficult to obtain, recommend more valu...

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
CPCG06F16/903
Inventor 徐小龙曹嘉伦王慧健刘建侠苏展李玲娟陈丹伟
Owner NANJING UNIV OF POSTS & TELECOMM
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