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  1. Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval (LSDS-IR '08)
  2. A metric cache for similarity search
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Search engine architectures from conventional to Brian Ulicny and Ken Baclawski. New metrics for newsblog
A metric cache for similarity search
Managing collaborative feedback information for distributed retrieval
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A measure for cluster cohesion in semantic overlay networks
Integral based source selection for uncooperative distributed information retrieval environments
Propagation-vectors for trees (PVT): concise yet effective summaries for hierarchical data and trees
Ranking information resources in peer-to-peer text retrieval: an experimental study
Routing of structured queries in large-scale distributed systems
Peer-to-peer similarity search over widely distributed document collections
Cost-effective spam detection in p2p file-sharing systems

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A metric cache for similarity search

Content Provider ACM Digital Library
Author Lucchese, Claudio Orlando, Salvatore Rabitti, Fausto Falchi, Fabrizio Perego, Raffaele
Abstract Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval systems, which are shifting their target towards the Web-scale dimension. In this context, an important issue becomes the design of scalable solutions, which combine parallel and distributed architectures with caching at several levels. To this end, we investigate the design of a similarity cache that works in metric spaces. It is able to answer with exact and approximate results: even when an exact match is not present in cache, our cache may return an approximate result set with quality guarantees. By conducting tests on a collection of one million high-quality digital photos, we show that the proposed caching techniques can have a significant impact on performance, like caching on text queries has been proved effective for traditional Web search engines.
Starting Page 43
Ending Page 50
Page Count 8
File Format PDF
ISBN 9781605582542
DOI 10.1145/1458469.1458473
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-10-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Query-result caching Content-based retrieval Metric spaces
Content Type Text
Resource Type Article
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