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Travel destination situation recommendation method based on geotagged photo excavation

A recommended method and contextualized technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to prepare in advance, manual scoring, different problems, etc.

Inactive Publication Date: 2013-04-24
ZHEJIANG HONGCHENG COMP SYST
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Such a recommendation method is difficult to adapt to the recommendation of tourist locations in the real world. This is because: 1) which locations are suitable for travel is usually the subjective judgment of the user and cannot be prepared in advance; 2) it is difficult for the user to manually score the tourist locations in the real world; 3) Users choose different travel locations under different time or weather conditions

Method used

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  • Travel destination situation recommendation method based on geotagged photo excavation
  • Travel destination situation recommendation method based on geotagged photo excavation
  • Travel destination situation recommendation method based on geotagged photo excavation

Examples

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Embodiment 1

[0034] Embodiment 1: as figure 1 As shown, a method for contextualized tourist location recommendation based on geo-tagged photo mining includes the geo-tagged photo data mining process and the online travel location recommendation process. The geo-tagged photo data mining process includes the following steps:

[0035] 1. Mining of hot tourist spots:

[0036] Since users tend to take photos at places they are interested in, a place where a large number of users take photos intensively can be considered as a hot tourist spot. Therefore, if a geotagged photo is regarded as a location point, and a large number of geotagged photos are spatially clustered, each cluster obtained represents a hot tourist spot. Since the hot tourist spots have irregular shapes and different sizes, the P-DBSCAN algorithm is used to cluster the geographically tagged photos, and the result obtained is the hot tourist spot set L={l 1 , l 2 ,..., l n}, where l i =(P i , g i ) represents a hot touris...

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Abstract

The invention relates to data excavation technology and particularly relates to a travel destination situation recommendation method based on geotagged photo excavation. A geotagged photo is a photo labeled with geological information (like longitude and latitude). The method includes first acquiring travel destination and the name of the travel destination according to geological and semantic label of the photo, building a travel destination database and a user visit preference model according to visited situation characteristics (position, time and weather) of the travel destination, and recommending the travel destination to the user according to the current situation characteristic of the user and user visit preference similarity. The travel destination situation recommendation method utilizes a public geotagged photo (like Flickr), and achieves travel destination recommendation individuation and situation between social network users.

Description

technical field [0001] The invention relates to data mining technology, in particular to a method for contextualized recommendation of tourist spots based on geographically marked photo mining. Background technique [0002] Personalized recommendation is one of the most important services provided by social network systems and e-commerce systems, and it is an important means to solve the problem of "information overload" faced by users. So far, collaborative filtering is the most successful personalized recommendation technology. Its basic idea is to make recommendations based on the correlation between the target user and other users. When the system finds that one or a group of users has similar preferences to the target user, it will Preferences of target users can be predicted based on the preferences of these users. [0003] The existing collaborative filtering technology with the help of group intelligence usually realizes personalized recommendation through the follo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 赵江奇陈亮陈岭吕明琪
Owner ZHEJIANG HONGCHENG COMP SYST
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