Personalized travel route recommendation method based on tourist trust

A technology of travel routes and recommendation methods, applied in the Internet field, can solve problems such as insufficient consideration of user preferences, single recommendation technology, and data sparsity

Inactive Publication Date: 2015-11-18
SHAANXI NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Personalized recommendation has become the main technology to solve the problem of information overload. It is widely used in the fields of movies, music, and e-co

Method used

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  • Personalized travel route recommendation method based on tourist trust
  • Personalized travel route recommendation method based on tourist trust
  • Personalized travel route recommendation method based on tourist trust

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Embodiment Construction

[0049] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0050] Such as figure 1As shown, the method for recommending personalized travel routes based on the degree of trust of tourists in this embodiment is specifically implemented by the following steps:

[0051] (1) Call the Panoramio photo sharing community website API, crawl the tourist photo information set with geographical tags in the tourist attraction area and the historical tourist information corresponding to the photos according to the geographical longitude and latitude boundaries, and use the photo information to mine tourist points of interest;

[0052] (1.1) Crawling tourism information sets, mainly including basic information of historical tourists and photo datasets.

[0053] Tourist basic information, including visitor ID, gender, age and friend ID;

[0054] Photo information set, including photo ID, visitor ID, latitude, longi...

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Abstract

The present invention relates to a personalized travel route recommendation method based on tourist trust. Firstly, photo information with a geographical label and historical tourist information in a network are gathered, a large number of photo information is subjected to preprocessing, reliable interest point information is obtained, then a body database is constructed by using body-based modeling thought, interest point probability is predicted by using the mixed model of Markov and an subject, the travel route generation algorithm based on interest point heat is generated, and finally combined with a user trust weighted tourist route, a final route is recommended to a user. According to the method, the real travel information of users in a social network is fully utilized, a personalized travel route recommendation service can be effectively provided to the user, and the method has a good reference value for transportation service departments and travel agencies.

Description

technical field [0001] The invention relates to the technical field of the Internet, and specifically designs a method for recommending personalized tourist routes based on the trust degree of tourists based on social networks and data mining. Background technique [0002] In recent years, social media websites have developed rapidly. Panoramio and Flickr abroad, Douban and Sina Weibo in China provide platforms for people to exchange information. People like to record all aspects of their lives through text, pictures, etc., especially travel itineraries, and people are willing to share what they see and hear during the trip. Traditional travel agencies only plan itineraries based on the public's travel experience or browsing travel blog logs, which is usually time-consuming, does not make full use of the advantages of information technology, cannot meet the diverse needs of users, and the results are not satisfactory. Travel websites focus on hot recommendation, popular rec...

Claims

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Application Information

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IPC IPC(8): G06Q50/14G06F17/30
Inventor 曹菡王楠
Owner SHAANXI NORMAL UNIV
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