Basics of Recommender Systems: Study of Location-Based Social Networks
Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)
Location Recommendation Project
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.
Build location recommendations for retailers who want to open offline stores.
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."