LARS 2019 will offer invited lectures by leading international researchers on foundational as well as trendy topics in recommender systems, an industry session, and a research consortium for selected graduate students.

Thursday, October 10, 2019 — Teatro (5th floor)

08:00-10:30LARS 2019 registration
10:30-11:00Coffee break
11:00-11:15LARS 2019 Opening
11:15-12:30Recommender Systems: Value, Methods, Measurement
Dietmar Jannach (Univ. Klagenfurt, Austria)
14:30-16:30FAT in Recommendation Systems
Denis Parra (PUC, Chile)
16:30-17:00Coffee break
17:00-19:00Recommender Systems Evaluation Beyond Accuracy
Pablo Castells (Univ. Autónoma de Madrid, Spain)

Friday, October 11, 2019 — Teatro (5th floor)

08:00-10:00Industry Session
How is Automating Metadata Extraction for Video Recommendation
Felipe Ferreira (, Brazil)
Explainable Machine Learning for a Better Understanding of Search Engines at Elo7
Junior A. Koch (Elo7, Brazil)
How Buzzmonitor is Using Facebook and Instagram Data to Improve Customer Experience for Global Brands
Fábio Leal (Buzzmonitor, Brazil)
Recommender Systems at Magalu: Past, Present and Future
Andrei Martins (Magazine Luiza, Brazil)
Challenges and Research for a Real-Time Recommendation in a Dynamic Marketplace Environment
Tiago Motta (OLX, Brazil)
The Problem of Matching Scarcity: When RSs Don’t Connect the Edges in Recruitment Services
Fernando Mourão (SEEK, Brazil)
iFood Recommendations
Renan Oliveira (iFood, Brazil)
How Virtus is Using Recommender Systems to Solve Sofware Engineering Problems
Mirko Perkusich (Virtus, Brazil)
10:00-10:30Coffee break
10:30-12:30Deep Learning for Recommendation
Anoop Deoras (Netflix, USA)
14:30-16:30Building Large Scale Recommendation Systems: An Industry Perspective
Tao Ye (Pandora, USA)
16:30-17:00Coffee break
17:00-19:00Recommender Systems: The Human Perspective
Joseph Konstan (Univ. of Minnesota, USA)
19:00-21:00LARS 2019 Closing Cocktail

Saturday, October 12, 2019 — Escola de Negócios (6th floor)

Saturday activities are restricted to selected research consortium participants and mentors.

09:00-10:00Poster Session
10:00-11:30Breakout Sessions
14:00-15:30Breakout Sessions