Basics of Recommender Systems: Study of Location-Based Social Networks
Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)
Location Recommendation Project
Build location recommendations for retailers who want to open offline stores.
This project recommends locations to users based on different criteria, including their check-in-history, social connections, and travel routes. It can suggest nearby unvisited places, locations popular among a user's network, or convenient stops along a planned trip.
Add a description, image, and links to the location-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the location-recommendation topic, visit your repo's landing page and select "manage topics."