Location Identification and Personalized Recommendation of Tourist Attractions Based on Image Processing
Author:
Zhang Qian,Liu Yi,Liu Lei,Lu Shuang,Feng Yuxue,Yu Xiao
Abstract
Currently, tourists tend to plan travel routes and itineraries by searching for relevant information on tourist attractions via the Internet and intelligent terminals. However, it is difficult to achieve good retrieval effect on tourist attraction images with text labels. Based on deep learning, the visual location identification faces such defects as frequent mismatching, high probability of weak matching, and long execution time. To solve these defects, this paper puts forward a novel method for location identification and personalized recommendation of tourist attractions based on image processing. Specifically, the authors detailed the ideas and steps of the location identification algorithm for tourist attractions. The algorithm, grounded on hash retrieval, encompasses two stages: an offline stage, and an online stage. Besides, a personalized recommendation model for tourist attractions based on geographical location and time period. Finally, the proposed algorithm and model were proved accurate and effective through experiments.
Funder
Special Application for Key Research and Development and Promotion of Henan Province
Research on Strategies for Memory Protection and Inheritance of Industrial and Trade Traditional Villages in Henan from the Perspective of Village Culture
Research on Spatial Satisfaction Evaluation and Renewal Protection Strategy for Inheritance of Traditional Village Context in Southern Henan province
Humanities and Social Sciences research project of Education Department of Henan province in 2020
Subject of Henan social science planning
Research on Spatial Feature Improvement design of Traditional Village Landscape in Southern Henan Under Protection Early Warning Strategy
Publisher
International Information and Engineering Technology Association
Subject
Electrical and Electronic Engineering
Cited by
9 articles.
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