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- W2007070784 abstract "Large search engines are complex systems composed by several services. Each service is composed by a set of distributed processing nodes dedicated to execute a single operation required to user queries. One of these services is in charge of computing the top-k document results for queries by means of a document ranking operation. This ranking service is a major bottleneck in efficient query processing as billions of documents has to be processed each day. To answer user queries within a fraction of a second, techniques such as the Block-Max WAND algorithm are used to avoid fully processing all documents related to a query. In this work, we propose to efficiently distributing the Block-Max WAND computation among the ranking service processing nodes. Our proposal is devised to reduce memory usage and computation cost by assuming that each one of the P ranking processing nodes provide top-K/P + α documents results, where α is an estimation parameter which is dynamically set for each query. The experimental results show that the proposed approach significantly reduces execution time compared against current approaches used in search engines." @default.
- W2007070784 created "2016-06-24" @default.
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- W2007070784 date "2013-01-01" @default.
- W2007070784 modified "2023-10-06" @default.
- W2007070784 title "Distributing Efficiently the Block-Max WAND Algorithm" @default.
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- W2007070784 doi "https://doi.org/10.1016/j.procs.2013.05.175" @default.
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