SIGIR Test of Time Awards Pre-2002 Recipients

When the Test of Time Award guidelines were created, eligible papers were identified as those that were published in a window of time 10 to 12 years prior to the award. This meant that in the first year this award was given, 2014, eligible papers came from the years 2002-2004.

To identify pre-2002 papers that should receive the award, a ten-person committee was formed and led by Keith van Rijsbergen. This committee used citation counts and other techniques to identify papers that should be considered for the award. Nominations were also solicited from the community. In addition, a sub-committee was formed of people active in the 1980s to identify papers from the 70s and 80s that should be considered for the award.

As a result of this process, a nomination pool of 59 papers was created. Each paper in the pool was reviewed by a team of three committee members. These teams assigned a grade to the paper and papers were scored according to grade. From this graded list, 30 papers were selected to receive a SIGIR Test of Time Award.

Year Title Author(s)
1980 Probabilistic Models of Indexing and Searching S. E. Robertson, C. J. van Rijsbergen & M. F. Porter
1982 The Unified Probabilistic Model for IR S. E. Robertson, M. E. Maron & W. S. Cooper
1983 A Study of the Overlap among Document Representations P. Das-Gupta & J. Katzer
1985 The Cluster Hypothesis Revisited E. M. Voorhees
1986 A New Theoretical Framework for Information Retrieval C. J. van Rijsbergen
1987 Automatic Phrase Indexing for Document Retrieval J. Fagan
1988 A Look Back and a Look Forward K. Spärck Jones
Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure G. W. Furnas, S. Deerwester, S. T. Dumais, T. K. Landauer, R. A. Harshman, L. S. Streeter & K. E. Lochbaum
Towards Interactive Query Expansion D. Harman
1989 A Library System for Information Retrieval based on a Cognitive Task Analysis and Supported by an Icon-based Interface A. M. Pejtersen
Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn about Documents R. K. Belew
1990 Inference Networks for Document Retrieval H. Turtle & W. B. Croft
1992 Scatter/Gather: A Cluster-based approach to Browsing Large Document Collections D. R. Cutting, D. R. Karger, J. O. Pedersen & J. W. Tukey
1994 A Sequential Algorithm for Training Text Classifiers D. D. Lewis & W. A. Gale
Some Simple Effective Approximation to the 2-Poisson Model for Probabilistic Weighted Retrieval S. E. Robertson & S. Walker
1995 Searching Distributed Collections with Inference Networks J. Callan, Z. Lu & W. B. Croft
1996 Pivoted Document Length Normalization A. Singhal, C. Buckley & M. Mitra
Query Expansion using Local and Global Document Analysis J. Xu & W. B. Croft
1998 A Language Modeling Approach to Information Retrieval J. M. Ponte & W. B. Croft
Improved Algorithms for Topic Distillation in a Hyperlinked Environment K. Bharat & M. R. Henzinger
On-line New Event Detection and Tracking J. Allan, R. Papka & V. Lavrenko
The use of MMR, Diversity-based Reranking for Reordering Documents and Producing Summaries J. Carbonell & J. Goldstein
1999 An Algorithmic Framework for Performing Collaborative Filtering J. L. Herlocker, J. A. Konstan, A. Borchers & J. Riedl
Information Retrieval as Statistical Translation A. Berger & J. Lafferty
Probabilistic Latent Semantic Indexing T. Hofman
2000 Evaluating Evaluation Measure Stability C. Buckley & E. M. Voorhees
IR Evaluation Methods for Retrieving Highly Relevant Documents K. Järvelin & J. Kekäläinen
2001 A Study of Smoothing Methods for Language Models applied to Ad Hoc Information Retrieval C. Zhai & J. Lafferty
Document Language Models, Query Models and Risk Minimization for Information Retrieval J. Lafferty & C. Zhai
Relevance based Language Models V. Lavrenko & W. B. Croft