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Deep semantic matching aims at discriminating the relationship between documents based on deep neural networks. In recent years, it becomes increasingly popular to organize documents with a graph structure, then leverage both the intrinsic document ...

Since the first introduced Collaborative Filtering Recommenders (CFR) there have been many attempts to improve their performance by enhancing the prediction accuracy. Even though rating prediction is the prevailing paradigm in CFR, there are other ...

User-based collaborative filtering systems suggest interesting items to a user relying on similar-minded people called neighbors. The selection and weighting of these neighbors characterize the different recommendation approaches. While standard ...

Extracting perceptually meaningful components plays an essential role in Chinese character studying process. This paper proposes an improved statistical structure modeling method to pick up all meaningful components in one character. Each stroke is ...

Neighborhood based collaborative filtering is a popular approach in recommendation systems. In this paper we propose to apply evolutionary computation to reduce the size of the model used for the recommendation. We formulate the problem of constructing ...

Some of P2P live streaming service encourage sending chunks of peers by changing quality of the video. In this case, peers connect each other and call each other as neighbors. However, the existing neighbor selection method has an issue. If peers that ...

In this paper, a cross layer protocol named Location Based Energy Efficient Routing (LBEER) is proposed. The proposed LBEER protocol addresses the physical, link and network layer issues by selecting an optimal forwarding neighbor based on Packet ...

Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work restates the problem in the area of Collaborative Filtering (CF), where ...

Early P2P-TV systems have already attracted millions of users, and many new commercial solutions are entering this market. Little information is however available about how these systems work, due to their closed and proprietary design. In this paper, ...

Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work restates the problem in the subarea of Collaborative Filtering (CF), ...

Peer-to-Peer (P2P) software as major Internet applications bring convenience and pleasure to users, while become a nightmare of Internet Service Providers (ISPs) because they produce huge traffic on network. The enormous traffic come from the fact that ...

Peer-to-peer (P2P) topology has a significant influence on the performance, search efficiency and functionality, and scalability of the application. In this paper, we investigate a multi-swarm approach to the problem of Neighbor Selection (NS) in P2P ...

BitTorrent is one of the Internet's most efficient content distribution protocols. It is known to perform very well over the wired Internet where end-to-end performance is almost guaranteed. However, in wireless ad hoc networks, many constraints appear ...

Locality-awareness is one of the essential characteristics for peer-to-peer (P2P) systems. Recently, many locality-aware algorithms have been proposed, in which locality can be defined as different network metrics. In this paper, we compare different ...

Since collaborative filtering (CF) based recommendation methods rely on neighbors as information sources, their performance depends on the quality of neighbor selection process. However, conventional CF has a few fundamental limitations that make them ...

Many distributed systems rely on neighbor selection mechanisms to create overlay structures that have good network performance. These neighbor selection mechanisms often assume the triangle inequality holds for Internet delays. However, the reality is ...

Many grid architectures have been developed since the first proto-grid systems in the early 70's, but there are not so many based on groups using an efficient node neighbor selection. This paper proposes a grid architecture based on groups. The ...

Recently, computer users have increased their interests in downloading large-volume contents like movies and software from the Internet, and a new generation of peer-to-peer (P2P) file-swapping applications that aims at improving the efficiency of ...