Linked Open Data (LOD) is an emerging Web technology to store and publish structured
data in the form of interlinked knowledgebases like DBpedia, Freebase, Wikidata, and Yago …

Recommender systems can assist with decision-making by delivering a list of item
recommendations tailored to user preferences. Context-aware recommender systems …

Context-aware recommendation is an essential part of advanced advertising systems. Most
of the existing context-aware recommender systems (CARS) build recommendation models …

Few prior studies on music recommendations investigate the context in which users receive
the recommendations, and what impact the recommendation has on the user. In this paper …

The very large majority of recommender systems are running as server-side applications,
and they are controlled by the content provider, ie, who provides the recommended items …

We consider Quantized Tensor Robust Principal Component Analysis (Q-TRPCA), which
aims to recover a low-rank tensor and a sparse tensor from noisy, quantized, and sparsely …

Integrating information about the listener's cultural background when building music
recommender systems has recently been identified as a means to improve recommendation …

Recommender systems appeared in the early 90s to help users deal with cognitive overload
brought by the internet. From there to now, such systems have assumed many other roles …

We generalize the 1-bit matrix completion problem to higher order tensors. Consider a rank-r
order-d tensor T in ℝ N×⋯× ℝ N with bounded entries. We show that when r= O (1), such a …

This article proposes a new method to overcome the sparse data problem of the
collaborative filtering models (CF models) by considering the homologous relationship …