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08/19/2023
Large Language Models as Zero-Shot Conversational Recommenders
In this paper, we present empirical studies on conversational recommenda...
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10/21/2021
On the Regularization of Autoencoders
While much work has been devoted to understanding the implicit (and expl...
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10/21/2019
Markov Random Fields for Collaborative Filtering
In this paper, we model the dependencies among the items that are recomm...
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05/08/2019
Embarrassingly Shallow Autoencoders for Sparse Data
Combining simple elements from the literature, we define a linear model ...
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04/30/2019
Collaborative Filtering via High-Dimensional Regression
While the SLIM approach obtained high ranking-accuracy in many experimen...
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01/16/2013
On the Use of Skeletons when Learning in Bayesian Networks
In this paper, we present a heuristic operator which aims at simultaneou...
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12/12/2012
Unsupervised Active Learning in Large Domains
Active learning is a powerful approach to analyzing data effectively. We...
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06/27/2012