Finding Out About
references to

Readings in Information Retrieval
Karen Sparck Jones and Peter Willett
Morgan Kaufmann, 1997

As discussed in FOA § 1.1.1 Working within the IR tradition, Finding Out About as described here is very much as an extension of the deep literature of the field of "information retrieval." The advantage of including Keith van Reijsbergen's textbook on the FOA CD is that many topics treated so well there need not be recapitulated in the FOA text.

The series of readings put together by Karen Sparck Jones (Cambridge University) and Peter Willett (University of Sheffield) provide another, very rich characterization of some of the classic research on which modern search engine technologies are based. It is no surprise, then, that many of the readings they have selected are also mentioned in various sections of the FOA text.

Readings in IR is highly recommend as complimentary reference for use in classrooms using the FOA text. The listing below provides a listing of where individual readings in this collection are mentioned in FOA.

Doyle, 1962
Doyle, L. (1962).
Indexing and abstracting by association, part 1.
Technical Report SP-718/001/00, System Development Corporation @Unisys Corporation, Santa Monica, CA.
FOA §6.5.2 Spreading activation search

Maron and Kuhns, 1960
Maron, M. and Kuhns, J. (1960).
On relevance, probabilistic indexing and information retrieval.
Journal of the ACM, 7 (3):216-244.
FOA §5.5.1 Probability Ranking Principle

Hutchins, 1978
Hutchins, W. (1978).
The concept of "aboutness" in subject indexing.
Aslib Proceedings, 30:172-181.
FOA §1.1 Finding Out About - a cognitive activity

Saracevic, 1975
Saracevic, T. (1975).
Relevance: A review of and a framework for the thinking on the notion in information science.
Journal of the American Society for Information Science, November-December:321-343.
FOA §4.3.4 Basic measures
FOA § Speech acts

Robertson, S.E. (1977).
The probability ranking principle in IR
Journal of Documentation, 33:294-304.
FOA §5.5.1 Probability Ranking Principle

Errata: For some, mysterious reason(probably having to do with the "Who stated the PRP hyperfoot?") direct citation to this seminal paper of Robertson's is not made in the first edition of the FOA text.

Turtle and Croft, 1990
Turtle, H. and Croft, W. (1990).
Inference networks for document retrieval.
In Vidick, J., editor, Proceedings of the Thirteenth International Conference on Research and Development in Information Retrieval, pages 1-24. New York: Association for Computing Machinery.
Association of Computing Machinery, Inc.
FOA §5.5.7 Bayesian networks

Porter, 1980
Porter, M. (1980).
An algorithm for suffix stripping.
Program, 14:130-137.
FOA §2.3.1 Stemming and other morphological processing
FOA §2.5.3 Software libraries

Salton and Buckley, 1988d
Salton, G. and Buckley, C. (1988d).
Term-weighting approaches in automatic text retrieval.
Information Processing and Management, 24:513-523.
FOA §3.6 Calculating TF-IDF Weighting

Robertson and Walker, 1994
Robertson, S. and Walker, S. (1994).
Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval.
In Croft, W. and van Rijsbergen, C., editors, Proceedings of the 17th International Conference on Research and Development in Information Retrieval, pages 232-241. Association of Computing Machinery, Inc.
FOA §3.3.2 Word occurrence as a Poisson process
FOA §3.4.2 Vector length normalization
FOA § Making weights sensitive to document length

Salton and Buckley, 1990
Salton, G. and Buckley, C. (1990).
Improving retrival performance by relevance feedback.
Journal of the American Society for Information Science, 41(4):288-297.
FOA §3.6 Calculating TF-IDF Weighting

Griffiths et al., 1986
Griffiths, A., Luckhurst, H., and Willett, P. (1986).
Using interdocument similarity information in document retrieval systems.
Journal of the American Society for Information Science, 37:3-11.
FOA §5.4.2 Clustering algorithms

L. F. Rau (1988).
Conceptual information extraction and retrieval from natural language input
in Actes: Recherche d'Infonnations Assistee par Ordinateur pages 423-437. Centre des Hautes Etudes Internationales d'Informatique Documentaire.
FOA §6.6.1 Geographical Hitlists

Swanson, 1988
Swanson, D. (1988).
Historical note: information retrieval and the future of an illusion.
Journal of the American Society for Information Science, 39:92-98.
FOA §6.1.1 Bibliometric analysis of science