Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …

As is well known, nonnegative matrix factorization (NMF) is a popular nonnegative
dimensionality reduction method which has been widely used in computer vision, document …

Effective organization of search results is critical for improving the utility of any search
engine. Clustering search results is an effective way to organize search results, which allows …

Topic modeling has been a key problem for document analysis. One of the canonical
approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes …

In this article we present Supervised Semantic Indexing which defines a class of nonlinear
(quadratic) models that are discriminatively trained to directly map from the word content in a …

Promotional videos are rapidly becoming a popular medium for persuading people to
change their behaviours in many settings (eg, online shopping, social enterprise initiatives) …

Context-aware recommendation seeks to improve recommendation performance by
exploiting various information sources in addition to the conventional user-item matrix used …

The rapid growth of Internet and modern technologies has brought data involving objects of
multiple types that are related to each other, called as multi-type relational data. Traditional …

In this paper we consider the problem of item recommendation in collaborative tagging
communities, so called folksonomies, where users annotate interesting items with tags …

Many mobile devices are equipped with video shooting function, and users tend to use
these mobile devices to produce user generated content (UGC), and share with friends or …