National Institute of Standards and Technology / Carnegie Mellon University / Language Technology Institute / Kylie McCormick Mount Holyoke College / University of Alaska Fairbanks / /
IndustryTerm
resource‐selection algorithm / Web Search Efficiency / restriction algorithms / document search / demonstration search application / ASL server / inner product / respective vector‐matrix products / back end web services / heterogeneous systems / back end search capability / document collection server / chemical compounds / document relevance‐ranking algorithms / document retrieval algorithms / distributed information retrieval applications / search resources / grid services / document retrieval algorithm / collection‐selection algorithm / resource selection algorithm / topic search / resource selection algorithms / information processing research / vector‐matrix product / backend services / web host‐name document collections / servlet / search interface / search service / back‐end services / Internet Domain Name / query‐document inner product / search application / homogeneous systems / back end services / back‐end search service / search engine / federated search / search efficiency / logistic regression algorithm / web services / /
OperatingSystem
Linux / Ubuntu / /
Organization
National Institute of Health / Greg Newby Arctic Region Supercomputing Center / Mount Holyoke College / American Society for Information Science / Centers for Disease Control and Prevention / National Institute of Standards and Technology / US Census Bureau / Language Technology Institute / University of Alaska Fairbanks / Carnegie Mellon University / Environmental Protection Agency / /
Person
Multisearch / Fedora Core / Chris Fallen / /
Position
Generalized vector spaces model in information retrieval / /
Microsoft Word - Fallen McCormick Newby MQ 2008 Notebook Paper.docx