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

Urban scenic spot intelligent recommendation system and method thereof

A recommendation system and recommendation method technology, applied in the field of big data, can solve problems such as exposure of privacy, long recommendation distance, waste of time, etc., and achieve the effect of protecting privacy and security

Active Publication Date: 2020-12-29
ZHEJIANG LISHI TECH
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the gradual growth of my country's GDP, more and more people choose to go out to travel and relax, so the tourism industry is developing very rapidly. At present, tourism has become an important part of the tertiary industry, but with the increase in the number of tourists , stampede incidents appear in many travel scenes, most of which are caused by the large number of people playing, and within a limited time, users cannot match the corresponding game strategy according to their hobbies, so usually Waste a lot of time in the scenic area;
[0003] Now many platforms have discovered the scenic spot recommendation system, but the existing system cannot recommend the scenic spot that the user is interested in to the user in a personalized way. , in the patent No. CN201510517966.7, according to the user's identity information, it provides the user with a tailor-made best recommended route that is most suitable for the user to browse the scenic spot, which basically solves the problem of the user's tour route, but when customizing for the user At the same time, it also exposes the user's privacy and cannot protect the user's privacy;

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
  • Urban scenic spot intelligent recommendation system and method thereof
  • Urban scenic spot intelligent recommendation system and method thereof
  • Urban scenic spot intelligent recommendation system and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Embodiment 1: The number of comment clips watched by the user is 5. Among these 5 comments, the set of feature words such as particularly exciting, very pleasant, not fun, and too boring appearing in different word frequencies in the comment clips is W={3, 2,2,1}, the second modal particles expressed by different word frequencies in the comment segment are: special, very, not, too, the collection of the second modal particle word frequencies is Y={5,4,3,2} , the frequency of occurrence of different expressions in the comment segment is B={6,8,3,1};

[0072] According to the formula:

[0073]

[0074]

[0075]

[0076]

[0077] Wherein, Z is the total probability times that different mood words occur; C i is the feature word as stimulus, S i is a characteristic word for soothing, A i Is that the characteristic word is quiet, C represents the frequency that the stimulus characteristic word occurs, S represents the frequency that the soothing characteristic ...

Embodiment 2

[0079] Embodiment 2: In step S3, the set of items that the user wants to play in the scenic spot is X={x 1 ,x 2 ,x 3 ,x 4}, the number of people queuing up for each scenic spot is R={15,20,24,3}, each batch of visitors spends 20 minutes at different scenic spots, and the number of each batch of visitors is 10 people. The resulting error time is 5 minutes;

[0080] According to the formula:

[0081] G 1 =(15 / 10)·20+5=25min;

[0082] G 2 =(20 / 10)·20+5=45min;

[0083] G 3 =(24 / 10)·20+5=45min;

[0084] G 4 =(3 / 10)·20+5=5min;

[0085] G 4 1 2 =G 3

[0086] After the above calculations, it can be obtained that the user can go to the fourth scenic spot first, and then go to the first scenic spot after 20 minutes of playing, and then go to the second or fourth scenic spot after 20 minutes of playing.

[0087] Among them: G i Indicates the total visiting time of the visitor, the user can i+1 -G i Rush to the location of the scenic spot in the next scenic spot within a...

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 relates to the technical field of big data, and particularly discloses an urban scenic spot intelligent recommendation system and a method thereof, and the system can basically judge theplaying property of a user according to the traveling property of the user and the search record of a browser, and can extract feature words, feature expressions and feature related words according to the clicking of the user and the observation of the information in comments, queuing is reasonably avoided according to the playing hobbies of the users, and time is reasonably arranged according tothe playing hobbies of the users. The method is scientific, reasonable and safe and convenient to use, whether the user is pleasant during playing is judged according to the face of the user in eachplaying project, and the arrangement is scored in combination with the score of the user, so that the users with the same playing property can play according to the score or comment of the user, and the user experience is improved. Through the feature vector words in the comments, the playing hobbies of the user can be known, so that the user can enjoy playing in a scenic spot.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a smart recommendation system and method for urban scenic spots. Background technique [0002] With the gradual growth of my country's GDP, more and more people choose to go out to travel and relax, so the tourism industry is developing very rapidly. At present, tourism has become an important part of the tertiary industry, but with the increase in the number of tourists , stampede incidents appear in many travel scenes, most of which are caused by the large number of people playing, and within a limited time, users cannot match the corresponding game strategy according to their hobbies, so usually Waste a lot of time in the scenic area; [0003] Now many platforms have discovered the scenic spot recommendation system, but the existing system cannot recommend the scenic spot that the user is interested in to the user in a personalized way. , in the patent No. CN201510517966.7, ...

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): G06F16/9535G06Q10/04G06Q50/14G06K9/00G06F40/30
CPCG06F16/9535G06Q10/047G06Q50/14G06F40/30
Inventor 不公告发明人
Owner ZHEJIANG LISHI 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