T he conclusions of Lipton et al 1 that the combination of aspirin, acetaminophen, and caffeine was highly effective for the treatment of migraine headache symptoms requires further comment. They acknowledge in their “Patients and Methods” section that the most severely disabled segment of migraineurs was excluded. However, they do not tell us what percentage of the potential population was exc...

With the rapid development of the Internet and the wide application of e-commerce, recommender system has become a necessity and collaborative filtering is the most successful technology for building recommendation systems. There are many problems in the recommendation approaches, such as data sparsity problem, the issue of new items and scalability issues. Item-based collaborative filtering al...

Recommender Systems (RS) have become increasingly essential in many domains for alleviating the "information overload" problem, but existing recommendation techniques suffer from the sparsity problem due to insufficient input data. In this thesis, we aim at extracting and incorporating meta-data from free-text UserGenerated Content (UGC) to lessen the effects of sparsity and therefore improve t...

Searching and presenting rich data using mobile devices is hard given their inherent I/O limitations. One approach for alleviating these limitations is device symbiosis, whereby the interaction with one’s personal mobile device is augmented by additionally engaging with more capable infrastructure devices, such as kiosks and displays. We have developed a software framework called Celadon, which...

Abstract In principle, sparse neural networks should be significantly more efficient than traditional dense networks. Neurons in the brain exhibit two types of sparsity; they are sparsely interconnected and active. These sparsity, called weight sparsity activation when combined, offer potential to reduce computational cost by orders magnitude. Despite this potential, today’s deliver only modest...

Conventional collaborative filtering(CF) recommendation applies the user-based centralized architecture. This architecture has some problems of sparsity and scalability, in addition to not fit the current popular P2P architecture. Therefore, this paper proposes a distributed model to implement the CF algorithm by maintaining the user’s record information distributedly in each nodes throughout t...