Predicting the next location a user tends to visit is an important task for applications like
location-based advertising, traffic planning, and tour recommendation. We consider the next …

This paper addresses the problem of detecting relevant motion caused by objects of interest
(eg, person and vehicles) in large scale home surveillance videos. The traditional method …

Truth can vary over time. Fact-checking decisions on claim veracity should therefore take
into account temporal information of both the claim and supporting or refuting evidence. In …

Despite substantial interest in applications of neural networks to information retrieval, neural
ranking models have mostly been applied to “standard” ad hoc retrieval tasks over web …

We tackle the challenge of understanding voice queries posed against the Comcast Xfinity
X1 entertainment platform, where consumers direct speech input at their" voice remotes" …

Pedestrian destination prediction of a user is known as an important and challenging task for
LBSs (location-based services) like traffic planning and travelling recommendation. The …

Automatic real-time summarization of massive document streams on the Web has become
an important tool for quickly transforming theoverwhelming documents into a novel …

This paper explores the problem of ranking short social media posts with respect to user
queries using neural networks. Instead of starting with a complex architecture, we proceed …

There is an emerging consensus that time is an important indicator of relevance for
searching streams of social media posts. In a process similar to pseudo-relevance feedback …

Information access, which enables people to identify, retrieve, and use information freely
and effectively, has attracted interest from academia and industry. Systems for document …