Personalization has become a predominant theme in online advertising; the internet allows advertisers to target only those users with the greatest chances of engagement, maximizing the probability of success and user happiness. However, a näıve approach to matching users with their most suitable content scales proportionally to the product of the cardinalities of the user and content sets. For ...

Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance general purpose computation. We describe a framework designed for high performance GPU programming, built on Nvidia’s Compute Unified Device Architecture (CUDA) platform. The framework is built around the Map Reduce abstraction, which allows application developers to focus on thei...

Cloud computing is emerging as a new paradigm of large-scale distributed computing. Cloud computing provides customers/users scalability, flexibility for their applications by providing collection of interconnected and virtualized servers. But as the requirement for cloud increases, so increase the consumption of huge amounts of electrical energy, contributing to high operational costs Green Ho...

The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [3] is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is ver...

Large amount of parallel corpora is required for building Statistical Machine Translation (SMT) systems. We describe the TransDoop system for gathering translations to create parallel corpora from online crowd workforce who have familiarity with multiple languages but are not expert translators. Our system uses a Map-Reduce-like approach to translation crowdsourcing where sentence translation i...

-With the recent explosive growth of the amount of data content and information on the Internet, it has become increasingly difficult for users to find and maximize the utilization of the information found in the internet. Traditional web search engines often return hundreds or thousands of results for a particular search, which is time consuming .In order to overcome these problems, we have de...

Most of the cloud services require users to share personal data like electronic medical record for data analysis and data mining, bringing privacy concerns. The data sets can be anonymized by using generalization method to attain such privacy requirement. At present the proportion of data in several cloud application growing greatly in congruence with the bid data trend, therefore it is a chall...