Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …

The design of algorithms that generate personalized ranked item lists is a central topic of
research in the field of recommender systems. In the past few years, in particular …

This paper tackles the problem of recommendations in eBay's large semi-structured
marketplace. eBay's variable inventory and lack of structured information about listings …

In recent years, algorithm research in the area of recommender systems has shifted from
matrix factorization techniques and their latent factor models to neural approaches …

Develo** a real-world recommender system, ie for use in large-scale online retail, poses a
number of different challenges. Interestingly, only a small part of these challenges are of …

In this paper we investigate the performance of machine learning based recommender
system with real-time log streaming on a large real-estate site, in the views of system …

This paper considers the application of Bayesian optimisation to the well-known
multidimensional knapsack problem which is strongly NP-hard. For the multidimensional …

This study stems from actual challenges that we face in building a recommender system at
Bukalapak. Our existing recommendation system, which is an item-to-item collaborative …

Pela importância que a Inteligência Artificial exibe na atualidade, revela-se de grande
interesse verificar até que ponto ela está a transformar o Negócio Eletrónico. Para esse …