Analysis and Processing on Location Based Big Internet Data for Tourism
Abstract：Tourism is part of China's economic development which cannot be ignored. How to promote their successful transition in the Internet environment and realize the next generation of travel information display and recommendation has become an important academic issue. This project focuses on the challenges of massive data, rapid growth, rich sources, diverse modalities and low value density on location-based big Internet data, and researches on analysis and processing location-based big Internet data for tourism. Through the integration of natural language understanding, multimedia semantic analysis, social media mining and cross-platform personalized recommendation technologies, we focus on studying single modality feature learning, supervised deep learning and cross-modality deep learning, and establishing a robust feature extraction mechanism for location-based big Internet data; studying topic model based multi-scene multi-viewpoint mining and topic model based spatio-temporal theme mining, and achieving the analysis of location-based big Internet data; studying user interests modeling and cross-platform personalized recommendation, and completing the processing of a location-based big Internet data;; and ultimately realizing a new generation of real-time, accurate and robust tourist information display and push the platform, which not only all-round displays information about tourist attractions, and also recommends the desired tour information to each user.
Keywords: Geo multimedia content analysis; personalized multimedia recommendation; big data analysis and processing; deep learning; cross-platform analysis and processing
Contact:
BAO Bingkun
E-mail: bingkunbao@gmail.com