An ontology-based travel information recommendation method

An information recommendation and ontology technology, applied in the field of ontology-based travel information recommendation, can solve problems such as inaccurate travel recommendation results, and achieve the effect of avoiding wasting time and improving accuracy

Inactive Publication Date: 2019-09-27
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose an ontology-based travel information recommendation method in order to solve the problems of inaccurate travel recommendation results and static recommendations.

Method used

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  • An ontology-based travel information recommendation method

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specific Embodiment approach 1

[0034] Specific Embodiments Specific Embodiment One: Combining figure 1 To illustrate this embodiment, a method for recommending travel information based on ontology in this embodiment is specifically carried out according to the following steps:

[0035] Step 1. Construct the ontology of tourist attractions;

[0036] Step 2, using the FP-Growth algorithm to mine association rules between users;

[0037] The FP-Growth algorithm is a frequent pattern growth algorithm;

[0038] Step 3, using the threshold value of the association rule to divide the users into two categories, one is the associated user, and the other is the irregular user; the threshold is set artificially;

[0039] Step 4: Use the collaborative filtering algorithm that incorporates time factors and evaluation factors to generate scenic spot recommendations for associated users;

[0040] Step 5, use the collaborative filtering algorithm based on the ontology of tourist attractions for irregular users to gener...

specific Embodiment approach 2

[0044] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: the tourist attraction ontology is constructed in the described step one; the specific process is:

[0045] Step 11. From N documents (for example: Feng Xin, Wang Chengliang. Application Research of Ontology in Tourism Information System [J] Computer and Modernization. 2010(3): 128-133.

[0046] Zhong Fujin. The practice of OWL-based ontology construction in the field of tourism [J] Popular Science and Technology. 2010(3):17-20.

[0047] Chen Yanping, Wei Lulu. The construction of tourism domain ontology based on OWL [J] Journal of Xi'an University of Posts and Telecommunications. 2011,12(1):78-83.

[0048]Hu Nana, Li Linlin, Wu Shang. Personalized Tourist Recommendation System. [J] Information Technology. 2013(2): 135-140.) Import the scenic spot ontology into the tourist spot ontology to be constructed. N In the process of merging, formulate the ...

specific Embodiment approach 3

[0058] Embodiment 3: This embodiment differs from Embodiment 1 or Embodiment 2 in that: the structure of the tourist attraction body is a tree structure, and the nodes between the upper and lower levels have a clear parent-child relationship, and each node is an individual , there is no intersection with other nodes in the same layer.

[0059] Nodes are the types of tourist information involved in tourist attractions, for example, attractions include: transportation, accommodation, food, etc.

[0060] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

An ontology-based travel information recommending method is provided, and aims to solve the problems that existing travel recommending results are inaccurate, and recommendations are staticized; the method comprises the following steps: 1, building a travel sight spot ontology; 2, using a FP-Growth algorithm to excavate association rules between users; 3, using an association rule threshold value to split users into associated users and random users; 4, applying the cooperation filtering algorithm combining time factor and evaluate factor to associated users, thus forming sight spot recommendations; 5, applying the cooperation filtering algorithm based on the travel sight spot ontology to random users, thus forming sight spot recommendations; 6, combining the travel sight spot recommending results of step 4 and 5; 7, carrying out contextual information filtering for the combined result; 8, using the filtered result for information development based on the travel sight spot ontology. The ontology-based travel information recommending method is applied to the travel information recommending field.

Description

technical field [0001] The invention relates to an ontology-based travel information recommendation method. Background technique [0002] Nowadays, people's living standards are constantly improving, and the ways of leisure and entertainment have become diverse. The original monotonous way of leisure is far from meeting the needs of modern people. Therefore, tourism conforms to the tide of the development of the times and integrates into everyone's life, becoming an important way of leisure and entertainment. The Internet is an important channel for people to obtain tourism information, but the large amount of tourism information makes tourists get lost in the ocean of information. Therefore, how to solve the information overload and let the accurate tourism information directly catch the eyes of tourists is the biggest problem. Therefore, travel information recommendation came into being. [0003] Recommender systems appeared in the 1990s. Existing recommendation techno...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2455G06F16/2457
Inventor 王红滨冯梦园刘红丽徐琳王世鹏杨楠刘广强张玉鹏刘天宇李华峰
Owner HARBIN ENG UNIV
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