Couchdb-Lucene Search
Updated: 2010-07-31 07:12:04
The Beyond Search goslings noticed a post from R Newson about couchdb-lucene search. A bug fix was posted. Couchdb-lucene enables full text searching of couchdb documents. The Github detail page is at http://github.com/rnewson/couchdb-lucene/#readme. couchdb-lucene uses Apache Tika to index attachments. File types supported include Microsoft formats, Java class files, and jar archives, XML and about [...]

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Multimodal Information Group Home Benchmark Tests Tools Test Beds Publications Links Contacts Topic Detection and Tracking Evaluation Topic Detection and Tracking research was pursued under the DARPA Translingual Information Detection , Extraction , and Summarization TIDES program Topic Detection and Tracking is an integral part of the DARPA Translingual Information Detection , Extraction , and Summarization TIDES program . The goal of the TIDES program is to enable English-speaking users to access , correlate , and interpret multilingual sources of real-time information and to share the essence of this information with . collaborators As a TIDES evaluation community , TDT provides a forum to discuss applications and techniques for detecting and tracking events that occur in real-time and
: SIGIR 2010 Industry Track The SIGIR 2010 Industry Track organized by David Harper Google , Switzerland and Peter Schäuble Eurospider , Switzerland was a success . In the morning session four keynote talks were presented from influential technical leaders Baidu , Google , Bing , Yandex During the afternoon session , seven presentation showed interesting , novel , and innovative ideas from the search . industry Future Search : From Information Retrieval to Information Enabled Commerce : Speaker William Chang , Baidu : Abstract The China Economic Miracle has produced thirty years of sustained 10 GDP growth , allowing China to overtake Japan . Recently , concerned with social issues , debt safety , high commodity prices and weak exports , China has sought to tame that part of GDP derived
David Jensen I am an Associate Professor of Computer Science and Director of the Knowledge Discovery Laboratory at the University of Massachusetts Amherst My research focuses on the statistical aspects and architecture of systems for knowledge discovery in databases and the assessment of those systems for government and business . applications Research Guides to the major results of my work Writing Papers and talks Laboratory My research group , students , and colleagues Teaching Recent and upcoming courses Experience Education , work , and other information Contact Electronic and physical addresses Recent news Profiled in SAFE Tutorial at AFRL Invited talk at IAEA workshop Invited talk at DHS workshop SIGKDD panel on privacy Invited talk at Yahoo Labs Invited talk at LLNL Associate
SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation Overview Program Call for Participation Organizers Overview While automated Information Retrieval IR technologies have enabled people to quickly and easily find desired information , development of these technologies has historically depended on slow , tedious , and expensive data annotation . For example , the Cranfield paradigm for evaluating IR systems depends on human judges manually assessing documents for topical relevance . Although recent advances in stochastic evaluation algorithms have greatly reduced the number of such assessments needed for reliable evaluation , assessment nonetheless remains an expensive and slow process . nbsp Crowdsourcing represents a promising new avenue for reducing effort , time , and cost