IIC3633 Sistemas Recomendadores

W9: The Effect of Explanations and Algorithms on Visual RecSys

W7: Ensemble recommendations via Thompson sampling: an experimental study within e-Commerce

Esta es mi crítica a Ensemble recommendations via Thompson sampling: an experimental study within e-Commerce de Brodén, B., Hammar, M., Nilsson, B. J., & Paraschakis, D…

W6: Deep neural networks for youtube recommendations

Esta es mi crítica a Deep neural networks for youtube recommendations de Covington, P., Adams, J., & Sargin, E. (2016)

De qué se trata el paper?

W5: BPR: Bayesian personalized ranking from implicit feedback

Esta es mi crítica a BPR: Bayesian personalized ranking from implicit feedback de Rendle, S., Freudenthaler, C., Gantner, Z., & Schmidt-Thieme, L. (2009).

¿De qué se trata el paper?

W4: Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features.

Esta es mi critica a Content-based artwork recommendation: integrating painting metadata with neural and…

W4: Content-based recommendation systems.

Esta es mi crítica a Content-based recommendation systems. de Pazzani, M. J., & Billsus, D. (2007).

¿De qué se trata el documento?

W3: Evaluating recommendation systems

Esta es mi crítica a Evaluating recommendation systems de Guy, S., & Gunawardana, A.. (2011)

¿De qué se trata el paper?

Este trabajo tiene por objetivo entregar una guía, tanto para la comunidad de investigación…

W3: Evaluating collaborative filtering recommender systems.

Esta es mi crítica a Evaluating collaborative filtering recommender systems de Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004).

W3: Performance of recommender algorithms on top-n recommendation tasks

Esta es mi critica a Performance of recommender algorithms on top-n recommendation tasks de Cremonesi, P., Koren, Y., & Turrin, R.