Awards
SIGIR presents three awards. The Gerard Salton Award is presented every three years to an individual who has made "... significant, sustained and continuing contributions to research in information retrieval". The Best Paper Award is presented to the individual(s) judged by a separate awards committee to have written the best paper appearing in the annual conference proceedings. The Best Student Paper is presented to the author of the best paper written solely or primarily by a student.
SIGIR also co-sponsors (with SIGWEB) the Vannevar Bush award, for the best paper at the JCDL conference.
Gerard Salton Award
This award honors those who have made "... significant, sustained and continuing contributions to research in information retrieval".
| Year | Honoree | Presentation Lecture |
|---|---|---|
| 2006 |
C.J. "Keith" van Rijsbergen
|
"Quantum haystacks""This acceptance talk is a curious mixture of personal history and developing ideas in the context of the growing field of IR covering several decades. I want to concentrate on models and theories, interpreted loosely, and try and give an insight into where I have got to in my thinking, where the ideas came from, and where I believe we are going. In the last few years I have been working on the development of what might be coined as a design language for IR. It takes its inspiration from Quantum Mechanics, but by analogy only. The mathematical objects represent documents; these objects might be vectors (or density operators) in an n-dimensional vector space (usually a Hilbert space)." |
| 2003 |
W. Bruce Croft
|
"Information Retrieval and Computer Science: An Evolving Relationship"For... "More than twenty years of significant, sustained and continuing contributions to research in information retrieval. His contributions to the theoretical development and practical use of Bayesian inference networks and language modelling for retrieval, and to their evaluation through extensive experiment and application, are particularly important. The Center for Intelligent Information Retrieval which he founded illustrates the strong synergies between fundamental research and its application to a wide range of practical information management problems." |
| 2000 |
Stephen Robertson
|
"On theoretical argument in information retrieval"SIGIR Forum, 34 (1), 1-10 (April 2000)For... "Thirty years of significant, sustained and continuing contributions to research in information retrieval. Of special importance are the theoretical and empirical contributions to the development, refinement, and evaluation of probabilistic models of information retrieval." |
| 1997 |
Tefko Saracevic
|
"Users lost (summary):
SIGIR Forum, 31 (2), 16-27 (Fall 1997).
|
| 1994 |
William Cooper
|
"The formalism of probability theory in IR: a foundation or an encumbrance?"http://www.acm.org/pubs/articles/proceedings/ir/188490/p242-cooper/p242-cooper.pdf |
| 1991 |
Cyril Cleverdon
|
"The significance of the Cranfield tests on index languages"Cyril Cleverdon 1914-1997: see Journal of Documentation 54(3), June 1998, 265-280. |
| 1988 |
Karen Sparck Jones
|
"A look back and a look forward"http://www.acm.org/pubs/articles/proceedings/ir/62437/p13-jones/p13-jones.pdf |
| 1983 |
Gerard Salton
|
"About the future of automatic information retrieval"Gerard Salton 1927-1995: see SIGIR Forum memorial issue. |
Best Paper Award
The Best Paper Award is presented to the individual(s) judged by a separater awards committee to have written the best paper appearing in the annual conference proceedings.
Best Student Paper Award
The Best Student Paper is presented to the author of the best paper written solely or primarily by a student.
Best Poster Award
| Year | Authors | Citation |
|---|---|---|
| 1999 |
Michael Witbrock Vibhu Mittal |
Ultra-summarization: A statistical approach to generating highly condensed non-extractive summaries |
| 1998 |
Ming-Jer Lee Lee-Feng Chien |
Automatic acquisition of phrasal knowledge for English-Chinese bilingual information retrieval |
| 1997 |
K. Ng V. Zue |
An investigation of subword unit representations for spoken document retrieval |