ACM Events - DMSIG - Charting SearchLand: Search Quality for Beginners

Determining the overall system performance and measuring the quality of complex search systems are tough questions. The target against which you are measuring your search system is also constantly evolving, sometimes in real time.
By: Matthew Bascom
 
Aug. 22, 2010 - PRLog -- Description:

Determining the overall system performance and measuring the quality of complex search systems are tough questions. Changes come from all subsystems of the complex system, at the same time, making it difficult to assess which modification came from which sub-component and whether they improved or regressed the overall performance. If this wasn’t hard enough, the target against which you are measuring your search system is also constantly evolving, sometimes in real time. Regression testing of the system and its components is crucial, but resources are limited. In this talk I discuss some of the issues involved and some possible ways of dealing with these problems. In particular I want to present an academic view of what I should have known about search quality before I joined Cuil in 2008.

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Speaker Biography:

Valeria de Paiva is a search analyst in Cuil, a start-up company creating a new search engine in Menlo Park, CA. Before that, she was a research scientist at the Intelligent Systems Laboratory of PARC (Xerox Palo Alto Research Center), California until 2008. At PARC she worked mainly with logical approaches to semantics of Natural Language and notions of context in AI.

She received her PhD in Mathematics from Cambridge University in 1988 for work on “Dialectica Categories”, under Martin Hyland’s supervision. Her work uncovered a relationship between Gödel’s celebrated “Dialectica Interpretation” and Girard’s Linear Logic, which is still under intense investigation. She also worked in the Computer Laboratory in Cambridge, in different projects, ranging from interactive theorem proving to lexical semantics, until moving to Birmingham for a full Lectureship in 1996 and to California in 1999.

Association for Computing Machinery

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About the Organization:

The Association for Computing Machinery (ACM)

Founded in 1947, shortly after the unveiling of ENIAC (the first general purpose electronic computer), the Association for Computing Machinery (ACM), is the world’s oldest and largest educational and scientific computing society. ACM provides a vital forum for the exchange of information, ideas, and discoveries. ACM is an international scientific and educational organization dedicated to advancing the arts, sciences, and applications of information technology. With a world-wide membership, ACM is a leading resource for computing professionals and students working in the various fields of Information Technology, and for interpreting the impact of information technology on society.
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