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Collaborative filtering (CF) based recommender systems have gained wide popularity in Internet companies like Amazon, Netflix, Google News, and others. These systems make automatic predictions about the interests of a user by inferring from information about like-minded users. Realtime CF on highly sparse massive datasets, while achieving a high prediction accuracy, is a computationally challenging...
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A, for m ≪ n, such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance. We also provide an empirical evaluation of the method that show, in some scenarios, its advantages over the “usual” recovery in the ℓp norms.
To overpass the speed gap between processor and main memory; cache memory is used. Cache memory is having hierarchical structure, including level 1 cache (L1), level 2 cache (L2) etc. Effective page replacement algorithm will result in effectual utilization of cache. L1 is having rich temporal locality while L2 is having poor temporal locality, thus same replacement algorithms for both the levels...
Access to the Internet and WWW is growing extensively, which results in heavy network traffic. To reduce the network traffic proxy server is used. Proxy server reduces the load of server. If the cache replacement algorithm of proxy server's cache is efficient then proxy server will be helpful to reduce the network traffic in more efficient manner. In this paper we are considering proxy server cache...
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