GPU accelerated item-based collaborative filtering for big-data applications

@article{Nadungodage2013GPUAI,
  title={GPU accelerated item-based collaborative filtering for big-data applications},
  author={Chandima H. Nadungodage and Yuni Xia and Jaehwan John Lee and Myungcheol Lee and Choon Seo Park},
  journal={2013 IEEE International Conference on Big Data},
  year={2013},
  pages={175-180}
}
Recommendation systems are a popular marketing strategy for online service providers. These systems predict a customer's future preferences from the past behaviors of that customer and the other customers. Most of the popular online stores process millions of transactions per day; therefore, providing quick and quality recommendations using the large amount of data collected from past transactions can be challenging. Parallel processing power of GPUs can be used to accelerate the recommendation… CONTINUE READING
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