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Google's famous PageRank algorithm is widely used to determine the importance of web pages in search engines. Given the large number of web pages on the World Wide Web, efficient computation of PageRank becomes a challenging problem. We accelerated the power method for computing PageRank on AMD GPUs. The core component of the power method is the Sparse Matrix-Vector Multiplication (SpMV). Its performance...
Aimed at the application requirements of content-based image retrieval technology on the Internet, firstly, some key techniques and application ways are researched, then the principles and methods how to reduce the ??gap?? between low-level visual features and high-level semantic description of image are analyzed for improving the efficiency and precision of image retrieval. At last, taken several...
Web search engine companies are intensively running learning to rank algorithms to improve the search relevance. Neural network (NN)-based approaches, such as LambdaRank, can significantly increase the ranking quality. While, their training is very slow on a single computer and inherent coarse-grained parallelism could be hardly utilized by computer clusters. Thus an efficient implementation is necessary...
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