This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …

Despite the variety of sensors that can be used in a smart home or office setup, for
monitoring energy consumption and assisting users to save energy, their usefulness is …

The technological development in the devices and services provided via the Internet and the
availability of modern devices and their advanced applications, for most people, have led to …

Recent advances in deep learning have yielded new approaches for music
recommendation in the long tail. The new approaches are based on data related to the …

Although there have been significant developments in music recommender systems (MRS),
artists interested in promoting their artistic career and listeners interested in exploring new …

Contextual information plays a key role in Context-Aware Recommender Systems (CARS).
The rating prediction in CARS focuses on improving recommendation accuracy attempting …

The paper aims to reveal that using statistical learning approaches for recommender
systems makes personal communication with customers better than the expert opinion …

Movie recommendation systems become an integral part for assisting users in discovering
relevant and enjoyable content in today's vast digital media landscape. Evaluating the …

Recommendation method is a popular research technology to solve the problem of
“information overload”. Traditional recommendation methods have problems such as data …

推荐方法是解决“信息过载” 问题的一种热门研究技术, 传统的推荐方法在音乐, 视频,
新闻等领域存在数据稀疏, 冷启动等问题, 将深度学**融入推荐方法中, 可以有效解决上述问题 …