Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
A metric cache for similarity search
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Building self-organized image retrieval network
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Ranking information resources in peer-to-peer text retrieval: an experimental study
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Peer-to-peer similarity search over widely distributed document collections
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Managing collaborative feedback information for distributed retrieval
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Propagation-vectors for trees (PVT): concise yet effective summaries for hierarchical data and trees
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Routing of structured queries in large-scale distributed systems
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Cost-effective spam detection in p2p file-sharing systems
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
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Due to the dramatically increasing amount of available data, effective and scalable solutions for data organization and search are essential. Distributed solutions naturally provide promising alternatives to standard centralized approaches. With the computational power of thousands or millions of computers in clusters or peer-to-peer systems, the challenges that arise are manifold, ranging from efficient resource discovery to issues in load balancing and distributed query processing. The 2008 edition of the Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR'08) provided a forum for researchers to discuss these problems and to define new directions for the work on Distributed Information Retrieval. The Workshop program featured research contributions in the areas of similarity search, resource selection, network organization schemes, issues of data quality, result ranking techniques and query routing algorithms.