Context-aware recommender systems leverage the value of recommendations by exploiting context information that affects user preferences and situations, with the goal of …
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports …
As compared to actions, activities are much more complex, but semantically they are more representative of a human׳ s real life. Techniques for action recognition from sensor …
We present a machine learning algorithm for building classifiers that are comprised of a small number of short rules. These are restricted disjunctive normal form models. An …
X Wang, Y Wang - Proceedings of the 22nd ACM international …, 2014 - dl.acm.org
Existing content-based music recommendation systems typically employ a\textit {two-stage} approach. They first extract traditional audio content features such as Mel-frequency cepstral …
As compared to simple actions, activities are much more complex, but semantically consistent with a human's real life. Techniques for action recognition from sensor generated …
This chapter gives an introduction to music recommender systems research. We highlight the distinctive characteristics of music, as compared to other kinds of media. We then …
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine Learning (ML), recommender systems have attracted significant research attention. These …