89165 - A Postgraduate Guide to Recommender Systems |
Data da turma: | 05/04/2019
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Descrição: | 1. Introduction: why & what
2. Collaborative: from heuristics to learning 3. Latent features: from prediction to ranking 4. Beyond accuracy: diversity, serendipity & FATE 5. Context-sensitivity: situation & intent 6. Futures: newer topics for research References: [1] Vito Walter Anelli, Pierpaolo Basile, Derek Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and Markus Zanker. Knowledge-aware and conversational recommender systems. In Proceedings of the 12th ACM Conference on Recommender Systems, RecSys’18, pages 521–522, New York, NY, USA, 2018. ACM. [2] Marius Kaminskas and Derek Bridge. Diversity, serendipity, novelty, and coverage: A survey and empirical analysis of beyond-accuracy objectives in recommender systems. ACM Trans. Interact. Intell. Syst., 7(1):2:1–2:42, December 2016. [3] Arpit Rana and Derek Bridge. Explanations that are intrinsic to recommendations. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP ’18, pages 187–195, New York, NY, USA, 2018. ACM. |
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Carga Horária: |
6 horas |
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Tipo: | Obrigatória | ||||
Vagas oferecidas: | 50 | ||||
Ministrantes: |
Derek Gerald Bridge |
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