A travel recommendation method based on multi-tourism context modeling
A recommendation method and context technology, applied in the field of travel recommendation based on multi-tourism context modeling, can solve problems such as lack of integration, and achieve the effects of ensuring effectiveness, improving high-level travel semantics, and enhancing travel personalization and accuracy
Active Publication Date: 2022-04-12
GUILIN UNIV OF ELECTRONIC TECH
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Instead of incorporating the context of tourists’ tourism features into the recommendation process
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0043] The present invention will be described in detail below in conjunction with accompanying drawing and specific embodiment:
[0044] Such as figure 1 As shown, a kind of tourism recommendation method based on multi-tourism context modeling of the present invention specifically includes:
[0045] S1: collect tourist's travel note data and tourist attractions attribute data as the original data that the embodiment of the present invention provides, after the original data is preprocessed, the tourists, scenic spots and their attributes in the original data are numbered;
[0046] S2: Extract the sequence of tourist attractions from the collected travel notes, for example, "Xiangshan Scenic Spot → Jingjiang Wangcheng → Diecai Mountain → Seven Star Scenic Spot → Two Rivers and Four Lakes". The scenic spot entities, attributes, and attribute values in the collected individual scenic spots and their related attribute data are expressed in the form of triples, so as to constru...
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
Login to View More Abstract
The invention discloses a tourism recommendation method based on multi-tourism context modeling, which includes: collecting data and performing preprocessing, numbering users, scenic spots and their attribute data; constructing tourism sequence tracks and scenic spot knowledge graphs; through deep learning models The feature representation of tourist visit behavior sequence context and scenic spot tourism attribute context is obtained through training; the final user vector and scenic spot vector are obtained by fusing multi-tourism context information; the spatial distance similarity between the user vector and each scenic spot vector is calculated, and the Top-K tourist attraction recommendation is obtained . The present invention uses the method of vector fusion to combine the user vector and scenic spot vector respectively obtained from the tourist visit behavior sequence context and scenic spot tourism attribute context into the final user vector and scenic spot vector. High-level tourism semantics in the representation ensure the effectiveness of the recommendations.
Description
technical field [0001] The invention relates to the technical field of tourist attraction recommendation, in particular to a travel recommendation method based on multi-tourism context modeling. Background technique [0002] With the continuous progress of society and the improvement of people's quality of life, more and more people choose to travel. However, the vigorous development of the tourism industry and the high enthusiasm for mass tourism have overloaded the massive tourism information provided by the current mainstream tourism information service platforms. How to select the tourist favorite attractions from the massive tourism information has become an urgent problem to be solved. [0003] The current traditional travel recommendation method mainly uses historical behavior data to obtain tourist behavior sequences, and uses methods such as collaborative filtering and probabilistic graph models to generate point-of-interest recommendations. Only the low-level beha...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/951G06F16/36G06Q50/14
CPCG06F16/9535G06F16/951G06F16/367G06Q50/14
Inventor 宾辰忠陈红亮古天龙常亮李康林梁浩宏
Owner GUILIN UNIV OF ELECTRONIC TECH