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

A Restaurant Recommendation Method Based on Online Reviews and Context Awareness

A technology of situation awareness and recommendation method, which is applied in the direction of buying and selling/lease transactions, instruments, calculations, etc. It can solve problems such as difficulty in guaranteeing accuracy and inability to handle user query needs, achieving high accuracy, increasing long-term dependence rate, and good generalization Effect

Inactive Publication Date: 2020-05-29
XIAMEN UNIV +1
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the system cannot handle the user's query needs
To sum up, the existing technology recommends restaurants in different situations, which are limited by various factors, and the accuracy is difficult to guarantee.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention provides a restaurant recommendation method based on online reviews and context awareness. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific examples described here are only used to explain the present invention, not to limit the present invention.

[0048] Such as figure 1 As shown, according to an aspect of the present invention, offline learning is carried out to online comments, comprising the following steps:

[0049] Step 101: including the step of training a situation classification model from online comment data in offline learning;

[0050] Step 102: including the step of training a feature extraction model from online comment data in offline learning;

[0051] Such as figure 1 As shown, according to another aspect of the present invention, online processing of user queries in...

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 restaurant recommendation method based on online reviews and context awareness, and relates to restaurant recommendation. A context classification model is trained from onlinereviews; a feature extraction model is trained from the online reviews; online processing is conducted for user queries. On the one hand, according to the characteristics of online review and score data, positive / negative opinions expressed by the online reviews under what circumstances can be effectively distinguished, and features of which restaurants are preferred by users under different circumstances are accurately extracted out; on the other hand, according to the user's query requirements, the underlying context requirement can be inferred, the optimal restaurant list is recommended for users according to an efficiency module, the method is a recommendation method high in precision and good in generalization performance, and the user experience can be greatly improved.

Description

technical field [0001] The present invention relates to restaurant recommendation, in particular to a restaurant recommendation method based on online reviews and context awareness. Background technique [0002] With the rapid development and popularization of Internet technology, people can easily obtain restaurant information in the surrounding area or even in any area for comparison and selection. On the other hand, people receive more and more restaurant information so that a large amount of invalid or redundant information affects efficiency and time. In order to solve the problem of information overload, restaurant recommendation systems came into being (such as patent CN106096993A). The restaurant recommendation system provides personalized restaurant recommendations for each user based on the user's historical data, helping users save energy and time and obtain a good dining experience. Context awareness is currently a popular research direction in restaurant recomm...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q30/06
Inventor 林琛刘杜钢
Owner XIAMEN UNIV
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