User sentiment analysis-based travel recommendation method and system

A sentiment analysis and recommendation method technology, applied in the field of data processing, to achieve the effect of improving hit rate, good speed and accuracy, and improving hit rate and accuracy

Inactive Publication Date: 2016-12-07
厦门趣处网络科技有限公司
View PDF19 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although there are only a few recommendation systems on the market that try to extract and utilize users' emotions and make effective recommendations, there is still a blank space in the existing market for those recommendation products that focus on how emotions affect users' recommendations for travel and leisure travel.

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
  • User sentiment analysis-based travel recommendation method and system
  • User sentiment analysis-based travel recommendation method and system
  • User sentiment analysis-based travel recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0051] figure 1 It is a schematic flowchart of a travel recommendation method based on user emotion analysis in an embodiment of the present invention.

[0052] A method for travel recommendation based on user sentiment analysis in this embodiment includes the following steps:

[0053]In step S100, according to the user behavior of the target user in the social network, the travel destination information shared by the target user and the corresponding emotional factors when the target user shares the travel destination are extracted; the reason for using the social network as the source of user emotion data is because, for many For many people, sharing their latest status on social networking platforms has become an inte...

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 user sentiment analysis-based travel recommendation method and system. The system comprises a preprocessing module and a recommendation module. The method comprises the steps of performing extraction to obtain travel place information shared by a target user and a corresponding sentiment factor during sharing of the travel place by the target user according to a user behavior of the target user in a social network; establishing a correlation between the corresponding sentiment factor during the sharing of the travel place by the target user and the travel place information shared by the target user to obtain correlated data of the target user; extracting the correlated data of the target user and performing similarity calculation; establishing a user list according to travel place information of similar users, and performing calculation to obtain interest values of the target user for all the travel place information shared by the users in the user list of the similar users; and obtaining a travel list and recommending the travel list to the target user. According to the method and the system, sentiment states of the user at different granularity levels and different time segments are extracted from the social network, thereby assisting the user to better explore and discover user preferences in travel scheme selection.

Description

technical field [0001] The invention belongs to the field of data processing, in particular to a travel recommendation method and system based on user emotion analysis. Background technique [0002] People have different preferences in the choice of travel and leisure destinations in different scenarios and states. At present, many recommendation systems have begun to consider combining various user-related background information, such as time, location, scene, weather and other mixed situations in the recommendation system to improve the accuracy of the recommendation. [0003] However, when a user is planning a travel plan, the influence of emotions on the user will often affect the final result. However, the user's emotional state is a typical secondary background information, because it cannot be directly measured, but needs to be inferred from other types of background information. Therefore, it is a very challenging task to obtain the user's emotional state in time a...

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 Applications(China)
IPC IPC(8): G06F17/30G06Q50/00
CPCG06F16/9535G06Q50/01
Inventor 黄杨
Owner 厦门趣处网络科技有限公司
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