State-of-the-art object detection networks depend on region proposal algorithms to
hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced …

Related Pins is the Web-scale recommender system that powers over 40% of user
engagement on Pinterest. This paper is a longitudinal study of three years of its …

Our interviews with people who have visual impairments show clothes shopping is an
important activity in their lives. Unfortunately, clothes shopping web sites remain largely …

A large variety of Recommender Systems today can help users to understand and make
sense of certain aspects of their cities, for example events, restaurants, government services …

In this paper, we present NxtPost, a deployed user-to-post content based sequential
recommender system for Facebook Groups. Inspired by recent advances in NLP, we have …

In many visually-oriented applications, users can select and group images that they find
interesting into coherent clusters. For instance, we encounter these in the form of hashtags …

This thesis concerns the role that AI technologies can play in enhancing the value of
museums and art galleries1 as both producers and custodians of knowledge. As society …

Curation is the act of selecting, organizing, and presenting content. Some applications
emulate this process by turning users into curators, while others use recommenders to select …

Nowadays, users are inundated with the large volume of data flowing in the web. This
information overload makes users unable to locate and to find the wanted information at the …