Personalized tourist track planning method based on group footprints

A technology of travel routes and footprints, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as difficulty for users to find useful information, lack of personalization, single travel information, etc.

Inactive Publication Date: 2014-08-20
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to plan travel routes, tourists often obtain travel information and suggestions through travel agencies or the Internet. However, the travel information provided by travel age

Method used

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  • Personalized tourist track planning method based on group footprints
  • Personalized tourist track planning method based on group footprints
  • Personalized tourist track planning method based on group footprints

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Embodiment Construction

[0035] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] see figure 1 Shown, the present invention is that the specific process of user's design personalized travel route is:

[0037] Step 1, using a web crawler to collect group footprint data;

[0038] The user's daily travel trajectory data can be reflected by his check-in data on the LBSN website. This step is based on web crawler and open API technology, collects all user check-in data disclosed by it from the target social network, including ID for identifying user identity, time and place longitude and latitude of user check-in, and stores the collection results in the database.

[0039] Step 2, from the collected data, extract tourist locations and their type attributes, user objects and their check-in records;

[0040] According to the data provided by Jiepang.com, the locations are classified int...

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PUM

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Abstract

The invention discloses a personalized tourist track planning method based on group footprints. The personalized tourist track planning method includes the specific steps of collecting group footprint data through web spiders, extracting tour sites, type attributes of the tour sites, user objects and signature records of the user objects from the collected data, dividing one day into a plurality of time periods, building a site preference model and a site heat-degree model of users in the different time periods, determining preference alternative site sets of the users in the different time periods with the collaborative filtering method according to tour demands provided by the users, and selecting optimal sites from the alternative site sets in the different time periods through a Markov model according to space-time constraint and user preference to generate tourist tracks. According to the personalized tourist track planning method, the tourist tracks conforming to the preference are automatically customized for the users through the abundant user track data according to the tour demands of the users, tour information implied in the open and available group footprint data is sufficiently mined, the people can be assisted to make tour plans, and the tour experience can be improved.

Description

technical field [0001] The invention belongs to the technical field of personalized recommendation, and relates to a method for planning a personalized travel route based on group footprints. Background technique [0002] With the development of economy and transportation, people's living standards are gradually improving, and tourism has become a part of people's lives. For tourists, travel route planning is one of the most important tasks in travel preparation. In order to plan travel routes, tourists often obtain travel information and suggestions through travel agencies or the Internet. However, the travel information provided by travel agencies is relatively single and lacks personalization. On the other hand, it is difficult for users to quickly find useful information from the ever-expanding network data. information. Under such circumstances, developing a method that can consider the individual needs of tourists and automatically plan travel routes will bring great...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/9537
Inventor 於志文胥皇周兴社郭斌王柱
Owner NORTHWESTERN POLYTECHNICAL UNIV
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