Multithreaded Implementation of the Slope One Algorithm for Collaborative Filtering

Abstract : Recommender systems are mechanisms that filter information and predict a user’s preference to an item. Parallel implementations of recommender systems improve scalability issues and can be applied to internet-based companies having considerable impact on their profits. This paper implements a parallel version of the collaborative filtering algorithm Slope One, which has advantages such as its efficiency and the ability to update data dynamically. The presented version is parallely implemented with the use of the OpenMP API and its performance is evaluated on a multi-core system.
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Communication dans un congrès
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.117-125, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_13〉
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Efthalia Karydi, Konstantinos Margaritis. Multithreaded Implementation of the Slope One Algorithm for Collaborative Filtering. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.117-125, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_13〉. 〈hal-01521419〉

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