{"id":75,"date":"2019-06-14T18:25:15","date_gmt":"2019-06-14T18:25:15","guid":{"rendered":"http:\/\/sbbd.org.br\/lars2019\/?page_id=75"},"modified":"2019-10-10T20:56:45","modified_gmt":"2019-10-10T20:56:45","slug":"program","status":"publish","type":"page","link":"https:\/\/sbbd.org.br\/lars2019\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\n

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

Thursday, October 10, 2019 \u2014 Teatro (5th floor)<\/h3>\n\n\n\n\n
08:00-10:30<\/td>LARS 2019 registration
<\/td><\/tr>\n
10:30-11:00<\/td>Coffee break
<\/td><\/tr>
11:00-11:15<\/td>LARS 2019 Opening<\/strong><\/td><\/tr>\n
11:15-12:30<\/td>Recommender Systems: Value, Methods, Measurement<\/a><\/strong>
Dietmar Jannach (Univ. Klagenfurt, Austria)
<\/td><\/tr>\n
12:30-14:30<\/td>Lunch
<\/td><\/tr>
14:30-16:30<\/td>FAT in Recommendation Systems<\/a><\/strong>
Denis Parra (PUC, Chile)
<\/td><\/tr>\n
16:30-17:00<\/td>Coffee break
<\/td><\/tr>\n
17:00-19:00<\/td>Recommender Systems Evaluation Beyond Accuracy<\/a><\/strong>
Pablo Castells (Univ. Aut\u00f3noma de Madrid, Spain)<\/td><\/tr>\n<\/tbody><\/table>\n\n\n\n

Friday, October 11, 2019 \u2014 Teatro (5th floor)<\/h3>\n\n\n\n\n\n
08:00-10:00<\/td>Industry Session<\/strong>\n
\n
08:00-08:15<\/dt>\n
How Globo.com is Automating Metadata Extraction for Video Recommendation<\/a><\/strong>
\nFelipe Ferreira (Globo.com, Brazil)<\/dd>\n\n
08:15-08:30<\/dt>\n
Explainable Machine Learning for a Better Understanding of Search Engines at Elo7<\/a><\/strong>
\nJunior A. Koch (Elo7, Brazil)<\/dd>\n\n
08:30-08:45<\/dt>\n
How Buzzmonitor is Using Facebook and Instagram Data to Improve Customer Experience for Global Brands<\/a><\/strong>
\nF\u00e1bio Leal (Buzzmonitor, Brazil)<\/dd>\n\n
08:45-09:00<\/dt>\n
Recommender Systems at Magalu: Past, Present and Future<\/a><\/strong>
\nAndrei Martins (Magazine Luiza, Brazil)<\/dd>\n\n
09:00-09:15<\/dt>\n
Challenges and Research for a Real-Time Recommendation in a Dynamic Marketplace Environment<\/a><\/strong>
\nTiago Motta (OLX, Brazil)<\/dd>\n\n
09:15-09:30<\/dt>\n
The Problem of Matching Scarcity: When RSs Don\u2019t Connect the Edges in Recruitment Services<\/a><\/strong>
\nFernando Mour\u00e3o (SEEK, Brazil)<\/dd>\n\n
09:30-09:45<\/dt>\n
iFood Recommendations<\/a><\/strong>
\nRenan Oliveira (iFood, Brazil)<\/dd>\n\n
09:45-10:00<\/dt>\n
How Virtus is Using Recommender Systems to Solve Sofware Engineering Problems<\/a><\/strong>
\nMirko Perkusich (Virtus, Brazil)<\/dd>\n<\/dl>\n<\/td><\/tr>\n
10:00-10:30<\/td>Coffee break
<\/td><\/tr>
10:30-12:30<\/td>Deep Learning for Recommendation<\/a><\/strong>
Anoop Deoras (Netflix, USA)
<\/td><\/tr>\n
12:30-14:30<\/td>Lunch
<\/td><\/tr>\n
14:30-16:30<\/td>Building Large Scale Recommendation Systems: An Industry Perspective\ufeff<\/a><\/strong>
Tao Ye (Pandora, USA)
<\/td><\/tr>\n
16:30-17:00<\/td>Coffee break
<\/td><\/tr>\n
17:00-19:00<\/td>Recommender Systems: The Human Perspective<\/a><\/strong>
Joseph Konstan (Univ. of Minnesota, USA)<\/td><\/tr>\n
19:00-21:00<\/td>LARS 2019 Closing Cocktail<\/strong><\/td><\/tr>\n<\/tbody><\/table>\n\n\n\n

Saturday, October 12, 2019 \u2014 Escola de Neg\u00f3cios (6th floor)<\/h3>\n\n\n\n

Saturday activities are restricted to selected research consortium<\/a> participants and mentors.<\/p>\n\n\n\n
09:00-10:00<\/td>Poster Session<\/strong><\/td><\/tr>
10:00-11:30<\/td>Breakout Sessions<\/strong><\/td><\/tr>
11:30-14:00<\/td>Lunch
<\/td><\/tr>
14:00-15:30<\/td>Breakout Sessions<\/strong><\/td><\/tr><\/tbody><\/table>\n","protected":false},"excerpt":{"rendered":"

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