Human-in-the-loop machine learning: a state of the art
E Mosqueira-Rey, E Hernández-Pereira… - Artificial Intelligence …, 2023 - Springer
Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …
algorithms generically called human-in-the-loop machine learning. Depending on who is in …
The use of machine learning algorithms in recommender systems: A systematic review
I Portugal, P Alencar, D Cowan - Expert Systems with Applications, 2018 - Elsevier
Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …
recommendations. Recently, these systems have been using machine learning algorithms …
Active learning of uniformly accurate interatomic potentials for materials simulation
An active learning procedure called deep potential generator (DP-GEN) is proposed for the
construction of accurate and transferable machine learning-based models of the potential …
construction of accurate and transferable machine learning-based models of the potential …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
Current challenges and visions in music recommender systems research
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …
the emergence and success of online streaming services, which nowadays make available …
Towards conversational recommender systems
K Christakopoulou, F Radlinski… - Proceedings of the 22nd …, 2016 - dl.acm.org
People often ask others for restaurant recommendations as a way to discover new dining
experiences. This makes restaurant recommendation an exciting scenario for recommender …
experiences. This makes restaurant recommendation an exciting scenario for recommender …
A survey of active learning in collaborative filtering recommender systems
In collaborative filtering recommender systems user's preferences are expressed as ratings
for items, and each additional rating extends the knowledge of the system and affects the …
for items, and each additional rating extends the knowledge of the system and affects the …
Content-based video recommendation system based on stylistic visual features
This paper investigates the use of automatically extracted visual features of videos in the
context of recommender systems and brings some novel contributions in the domain of …
context of recommender systems and brings some novel contributions in the domain of …
An introduction to recommender systems
CC Aggarwal, CC Aggarwal - Recommender systems: The textbook, 2016 - Springer
The increasing importance of the Web as a medium for electronic and business transactions
has served as a driving force for the development of recommender systems technology. An …
has served as a driving force for the development of recommender systems technology. An …
Sampling from Gaussian process posteriors using stochastic gradient descent
Gaussian processes are a powerful framework for quantifying uncertainty and for sequential
decision-making but are limited by the requirement of solving linear systems. In general, this …
decision-making but are limited by the requirement of solving linear systems. In general, this …