Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...

As mobile devices are becoming ubiquitous, regularly interacting with a variety of user interfaces (UIs) is common aspect daily life for many people. To improve the accessibility these and to enable their usage in settings, building models that can assist users accomplish tasks through UI vitally important. However, there several challenges achieve this. First, components similar appearance hav...