Aims & Topics of Interest<br>–––––––––––––––––––––––––<br>The growth of the Web and user bases lead to important performance problems for large–scale distributed information retrieval (IR) systems. Scalability and efficiency of these systems also have an impact on their effectiveness. Consequently, scalability and efficiency in the context of retrieval systems continue to be an important topic in IR research.The LSDS–IR′13 workshop aims to bring together both information retrieval practitioners from industry, as well as academic researchers concerned with efficient and distributed IR systems. The workshop also welcomes contributions that propose different ways of leveraging diversity and multiplicity of resources available in distributed systems.<br>Topics of interest will include, but will not be limited to:<br>– Novel distributed IR applications<br>– Web search in the cloud: applications of cloud computing to IR<br>– Energy–aware processing techniques for web search<br>– IR algorithms on novel computing architectures<br>– Efficiency for feature–based models<br>– Efficiency and scalability in distributed query processing<br>– Query forwarding algorithms for multi–site search engines<br>– Inverted index partitioning and replication models<br>– Lossy and lossless inverted index compression<br>– Collection selection and result merging in federated IR<br>– Distributed web crawling<br>– Distributed indexing and retrieval of dynamic information sources<br>– Caching for search engines<br>– Heterogeneous distributed data integration and organization<br>– Evaluation of the impact of search efficiency on user satisfaction<br>– Retrieval models for distributed IR<br>– Standards and benchmarks for distributed IR<br>
Abbrevation
LSDS-IR
City
Rome
Country
Italy
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Abstract