Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system has suffered from its limited scalabi...Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system has suffered from its limited scalability as calculation complexity increases rapidly both in time and space when the record in the user database increases. Peer-to-peer (P2P) network has attracted much attention because of its advantage of scalability as an alternative architecture for CF systems. In this paper, authors propose a decentralized CF algorithm, called PipeCF, based on distributed hash table (DHT) method which is the most popular P2P routing algorithm because of its efficiency, scalability, and robustness. Authors also propose two novel approaches: significance refinement (SR) and unanimous amplification (UA), to improve the scalability and prediction accuracy of DHT-based CF algorithm. The experimental data show that our DHT-based CF system has better prediction accuracy, efficiency and scalability than traditional CF systems.展开更多
Ubiquitous breadth of applications and data to quantify the sea and other features need an efficient means to provide information processing technology ensure. This paper analyzes the ubiquitous network application pl...Ubiquitous breadth of applications and data to quantify the sea and other features need an efficient means to provide information processing technology ensure. This paper analyzes the ubiquitous network application platform and its initial request for all kinds of computing and network resources. The current cloud computing technology distributed processing capabilities, which were assessed. And cloud computing in the future will provide a reference to the proposed application of research on cloud computing technology application and a new application fields.展开更多
文摘Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system has suffered from its limited scalability as calculation complexity increases rapidly both in time and space when the record in the user database increases. Peer-to-peer (P2P) network has attracted much attention because of its advantage of scalability as an alternative architecture for CF systems. In this paper, authors propose a decentralized CF algorithm, called PipeCF, based on distributed hash table (DHT) method which is the most popular P2P routing algorithm because of its efficiency, scalability, and robustness. Authors also propose two novel approaches: significance refinement (SR) and unanimous amplification (UA), to improve the scalability and prediction accuracy of DHT-based CF algorithm. The experimental data show that our DHT-based CF system has better prediction accuracy, efficiency and scalability than traditional CF systems.
文摘Ubiquitous breadth of applications and data to quantify the sea and other features need an efficient means to provide information processing technology ensure. This paper analyzes the ubiquitous network application platform and its initial request for all kinds of computing and network resources. The current cloud computing technology distributed processing capabilities, which were assessed. And cloud computing in the future will provide a reference to the proposed application of research on cloud computing technology application and a new application fields.
