Google Percolator – global search jolt sans MapReduce comedown
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Efficient Similarity Query Processing (Previously Efficient Exact Similarity Join)
Efficient Similarity Query Processing (Previously Efficient Exact Similarity Join) Given a similarity function and two sets of objects, a similarity join returns all pairs of objects (from each set respectively) such that their similarity value satisifies a given criterion. A typical example is to find pairs of documents such that their cosine similarity is above a constant threshold (say, 0.95),
Google Research Publication: MapReduce: Simplified Data Processing on Large Clusters
MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat Abstract MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with t
OBB vs AABB - Radium Software Development
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Large-scale Incremental Processing Using Distributed Transactions and Notifications
Jimmy Lin » Data-Intensive Text Processing with MapReduce
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