Ontology-based travel information recommending method

A technology of information recommendation and ontology, applied in the field of tourism information recommendation based on ontology, can solve the problem of inaccurate tourism recommendation results, avoid wasting time and improve the accuracy.

Inactive Publication Date: 2016-11-02
HARBIN ENG UNIV
View PDF3 Cites 19 Cited by
  • 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 recommendat...

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
  • Ontology-based travel information recommending method
  • Ontology-based travel information recommending method
  • Ontology-based travel information recommending method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0034] Specific embodiments Specific embodiment one: combination figure 1 To explain this embodiment, an ontology-based travel information recommendation method in this embodiment specifically follows the following steps:

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

[0036] Step 2: Use FP-Growth algorithm to mine association rules between users;

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

[0038] Step 3: Use the threshold of association rules to divide users into 2 categories, one is associated users, and the other is irregular users; the threshold is set manually;

[0039] Step 4. Use the collaborative filtering algorithm that incorporates the time factor and the evaluation factor into the associated users to generate scenic spot recommendations;

[0040] Step 5: Use a collaborative filtering algorithm based on tourist attractions ontology for irregular users to generate attractions recommendations;

[0041] Step 6. Combine the tourist a...

specific Embodiment approach 2

[0044] Specific embodiment two: this embodiment is different from specific embodiment one in that the tourist attraction ontology is constructed in the first step; the specific process is:

[0045] Step 1: From N articles (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 building ontology in the tourism field based on OWL[J] Popular Science and Technology.2010(3):17-20.

[0047] Chen Yanping, Wei Lulu. Construction of Ontology in Tourism Field 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 travel recommendation system. [J] Information Technology. 2013(2): 135-140.) The attraction ontology obtained in [J]Information Technology.2013(2):135-140.) is imported into the tourist attraction ontology to be constructed, and N Documents are merged; in the process...

specific Embodiment approach 3

[0058] Specific embodiment three: this embodiment is different from specific embodiment one or two in that: the structure of the tourist attraction ontology is a tree structure, the nodes between the upper and lower levels have a clear parent-child relationship, and each node is a separate individual , There is no intersection with other nodes in the same layer.

[0059] The node is the type of tourist information involved in the tourist attraction, for example, the tourist attraction contains: transportation, accommodation, food, etc.

[0060] Other steps and parameters are the same as those in the first or second embodiment.

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

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 recommendation method for travel information. Background technique [0002] Nowadays, people's living standards continue to improve, and the ways of leisure and entertainment have become diverse. The original monotonous leisure methods are far from meeting the needs of modern people. Therefore, tourism conforms to the tide of development of the times and is integrated into everyone's life, becoming an important way of leisure and entertainment. The Internet is an important channel for people to obtain travel information, but the huge amount of travel information makes tourists lost in the ocean of information. Therefore, how to solve the information overload and make accurate tourism information directly into the eyes of tourists is the biggest problem. Therefore, travel information recommendation came into being. [0003] The recommendation system appeared in the 1990s. The existing recommendation technologies m...

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): G06F17/30
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap