Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …

对现有的推荐系统评价指标进行了系统的回顾, 总结了推荐系统评价指标的最新研究进展,
从准确度, 多样性, 新颖性及覆盖率等方面进行多角度阐述, 并对各自的优缺点以及适用环境进行 …

Explainable recommendation attempts to develop models that generate not only high-quality
recommendations but also intuitive explanations. The explanations may either be post-hoc …

Nowadays, more and more news readers read news online where they have access to
millions of news articles from multiple sources. In order to help users find the right and …

We consider the recovery of a low rank real-valued matrix M given a subset of noisy discrete
(or quantized) measurements. Such problems arise in several applications such as …

What makes a good recommendation or good list of recommendations? Research into
recommender systems has traditionally focused on accuracy, in particular how closely the …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

Recurrent Neural Networks are powerful tools for modeling sequences. They are flexibly
extensible and can incorporate various kinds of information including temporal order. These …