Optimal Transport Enhanced Cross-City Site Recommendation - T2.4
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore an innovative approach to cross-city site recommendation in this 12-minute conference talk presented at SIGIR 2024. Delve into the application of optimal transport techniques for enhancing point of interest (POI) recommendations across different urban environments. Learn how authors Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, and Chunxiao Xing tackle the challenges of recommending sites in unfamiliar cities by leveraging optimal transport methods. Gain insights into the potential improvements this approach offers for location-based services and personalized travel recommendations.
Syllabus
SIGIR 2024 T2.4 [fp] Optimal Transport Enhanced Cross-City Site Recommendation
Taught by
Association for Computing Machinery (ACM)
Related Courses
Introduction to Data ScienceUniversity of Washington via Coursera Big Data Analytics in Healthcare
Georgia Institute of Technology via Udacity More Data Mining with Weka
University of Waikato via Independent Mining Massive Datasets
Stanford University via edX Pattern Discovery in Data Mining
University of Illinois at Urbana-Champaign via Coursera