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Information Retrieval, Volume 6
Volume 6, Number 1, January 2003
- Andrew Trotman:

Compressing Inverted Files. 5-19 - Ruud W. van der Pol:

Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval. 21-47 - Georgios Sakkis, Ion Androutsopoulos

, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos
:
A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists. 49-73 - Yuval Elovici, Bracha Shapira

, Paul B. Kantor:
Using the Information Structure Model to Compare Profile-Based Information Filtering Systems. 75-97 - David Hawking, Stephen E. Robertson

:
On Collection Size and Retrieval Effectiveness. 99-105
Volume 6, Number 2, April 2003
- Zhihong Lu, Kathryn S. McKinley:

Partial Collection Replication for Information Retrieval. 159-198 - Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal:

Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering. 199-223 - David Guo, Michael W. Berry

, Bryan B. Thompson, Sidney C. Bailin:
Knowledge-Enhanced Latent Semantic Indexing. 225-250 - Olga Vechtomova

, Stephen E. Robertson
, Susan Jones:
Query Expansion with Long-Span Collocates. 251-273 - Scott A. Sisson:

Principles of Data Mining. 275-277 - Nina Wacholder:

Spotting and Discovering Terms Through Natural Language Processing. 277-281 - Patricia F. Katopol:

Knowledge Management in the Socio Technical World? The Graffiti Continues. 281-284 - Paul Solomon:

Looking for Information?A Survey of Research on Information Seeking, Needs, and Behavior. 284-288
Volume 6, Number 3-4, September-December 2003
- Quan Wang, Yiu-Kai Ng:

An Ontology-Based Binary-Categorization Approach for Recognizing Multiple-Record Web Documents Using a Probabilistic Retrieval Model. 295-332 - Xiangji Huang

, Fuchun Peng, Dale Schuurmans, Nick Cercone, Stephen E. Robertson
:
Applying Machine Learning to Text Segmentation for Information Retrieval. 333-362 - Henrik Nottelmann, Norbert Fuhr:

From Retrieval Status Values to Probabilities of Relevance for Advanced IR Applications. 363-388

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