LSDS-IR 2014 - Workshop on Large-Scale and Distributed Information Retrieval (LSDS-IR 2014)

The growth of the Web and other Big Data sources 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'14 workshop will provide space for researchers to discuss such problems and to define new directions for the work on information retrieval in the modern Big Data era.
Topics of interest will include, but will not be limited to:
? Novel distributed IR applications
? Web search in the cloud: applications of cloud computing to IR
? Big Data techniques for IR applications
? Energy-aware processing techniques for web search
? IR algorithms on novel computing architectures
? Efficiency for feature-based models
? Efficiency and scalability in distributed query processing
? Multi-site web search engines
? Inverted index partitioning and replication models
? Lossy and lossless inverted index compression
? Collection selection and result merging in federated IR
? Distributed web crawling
? Distributed indexing and retrieval of dynamic information sources
? Caching for search engines
? Retrieval models for distributed IR
? Standards and benchmarks for distributed IR
? Evaluation of the impact of search efficiency on user satisfaction
? IR on large-scale web archives
? IR algorithms for exotic high-performance computer architectures