Live Session

14 Oct
 
9:00
CEST
Tutorial: Deep Recommendation using Graphs
Add Session to Calendar 2024-10-14 09:00 am 2024-10-14 12:45 pm Europe/Rome Tutorial: Deep Recommendation using Graphs Tutorial: Deep Recommendation using Graphs is taking place on the RecSys Hub. Https://recsyshub.org

Deep Recommendation using Graphs

View on ACM Digital Library
Speakers

Panagiotis Symeonidis

View PDF
Abstract

Click here for the book website on which this paper was based.

Click here for the slides from the presentation.

The tutorial will offer a rich blend of theory and practice. It is important for the RecSys community because it describes graph-based algorithms to model the user preferences and to address the similarity search and recommendation problem. This problem affects our everyday experience while searching for knowledge on a topic with challenging issues such as scalability, noise, and sparsity. We can deal with all the challenges by applying graph-based methods. We will provide a detailed step-by-step analysis, by using an integrated toy example with notebooks using python, which runs throughout main parts of the tutorial, and helps the audience to clearly understand the differences among different graph-based methods.

Join the Conversation

Tag questions @LiveContent to add to live session Q&A