Warsaw Data Science - Recsys2016 Quick Review
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My personal, quick review of ACM RecSys conference 2016.
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Warsaw Data Science - Recsys2016 Quick Review
- 2. Quick Info • MIT Boston,15th-19th September 2016 • 2 parallel sessions • conference - 3d, workshops - 2d
- 3. Deep Learning Paper Session 8: Deep Learning Embedding, embedding, embedding…! + Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation Parallel Recurrent Neural Network Architectures for Feature- rich Session-based Recommendations Recurrent Coevolutionary Feature Embedding Processes for Recommendation
- 4. Workshop - RecProfile • organized by Outbrain • to read: Incremental Factorization Machines for PersistentlyCold-starting Online Item Recommendation, Takuya Kitazawa • specific problems • I have to listen how MF works…one more time…
- 5. Past, Present & Future • 10 years of RecSys • Past, Present, and Future of Recommender Systems: An Industry Perspective, Xavier Amatriain (Quora), Justin Basilico (Netflix) • we will see who was right…
- 6. Contextual Cellenges • The Contextual Turn: From Context-Aware to Context-Driven Recommender Systems , Roberto Pagano, et.al. • Modeling Contextual Information in Session-Aware Recommender Systems with Neural Networks, Bartłomiej Twardowski
- 7. 2 x Algorithms Sessions • Local Item-Item Models For Top-N Recommendation - Best Paper Award! • Field-aware Factorization Machines for CTR Prediction - nothing new :-( But at this presentation I thought about doing intro to FM for WDS meetup. • Using Navigation to Improve Recommendations in Real-Time, Chao-Yuan Wu (UT Austin), Christopher V. Alvino (Netflix), Alexander J. Smola (Carnegie Mellon University), Justin Basilico (Netflix)
- 8. Other sessions/tutorials • Beyond Accuracy - one of the most interesting session • User in the Loop • Cold Start and Hybrid Methods • Tutorial: Lessons Learned from Building Real-Life Recommender Systems by Xavier Amatriain (Quora) and Deepak Agarwal (LinkedIn)
- 9. Keynotes • Automated Machine Learning in the Wild by Claudia Perlich (Dstillery) • Personalization for Google Now by Shashi Thakur • Peer Effects, Social Multipliers and Cascades of Human Behavior by Sinan Aral (MIT)