Describes the concept of maximum indexing, a system aimed at achieving maximum recall and maximum precision in computerized information retrieval. The indexing strategies used to achieve maximum indexing and the problems that arise are discussed. (9 references) (CLB)

Introduces a new model of viewing documents based on citing-cited relationship between them. Using Bayes' decision theory, it is shown how source document may be indexed and weighted by relevant cited document features, corresponding to one pass relevance feedback Model 1 (probabilistic indexing) or Model 2 (probabilistic retrieval). (24…

Reports of two experimental studies of uses of citing statements to augment full-text information retrieval of biomedical papers indicate that 78 percent of the words in computer-recognized citing statements were correctly attributable to corresponding cited papers, and computer procedures missed four percent of the words in the actual statements.…

The objectives of this paper are to describe the effect of using weighted index terms in a document retrieval system, and to evaluate retrieval performance when queries are expanded by terms occurring in clusters with the query terms. (16 references) (Authors)

This study proposes and investigates file ordering and retrieval techniques which, it is hypothesized, will: (a) reduce the average cost of retrieving records which satisfy a query, and (b) increase the rate of retrieval in the initial portion of the response period. (8 references) (Author)

The role of the generality effect in retrieval system evaluation is assessed, and evaluation results are given for the comparison of several document collections of distinct size and generality in the areas of documentation and aerodynamics. (14 references) (Author)

The results of an experiment simulating a library catalog search indicated that a relation exists between the lexical content load of the text, used to define the search topic, and the number of query terms generated by a group of experimental subjects (college students). (21 references) (Author)

Presents a method for using the amount of semantic information in search-query terms as a weighting factor in constructing a fuzzy relation of resemblance between retrieved items in information retrieval online. Two tables, two figures, and a reference list accompany the text. (Author/JL)

Discusses paragraph qualification, a search strategy used to retrieve information from computerized databases. Positive and negative paragraph qualification, after-the-fact qualification, multifile searching, and free text searching are described, using examples from the Bibliographic Retrieval Services (BRS)/Search System. (EJS)

Analyzes recent developments in the problem of processing queries expressed as Boolean expressions, shows that the concept of threshold values resolves the problems inherent with relevance weights, and explores possible evaluation mechanisms for document retrieval based on fuzzy set theory. Sixteen references are listed. (FM)

Describes a linkage similarity measure which takes into account both the bibliographic coupling of documents and their cocitations and compares the resulting predictions of relevance to the user's evaluations of the papers used in a test collection. (FM)

Suggests a new definition of relevance as it relates to information retrieval and compares the use of the term in theoretical models by Swets and by Maron and Kuhns. (FM)

Compares the retrieval performance of a technique for machine-aided indexing using a controlled vocabulary with that of a Key Word Out of Context Index, basing conclusions on the results of 20 subject searches of a database containing summaries of defense management data. (FM)

Discussion of hypertext browsing proposes a filtering algorithm which restricts the amount of information made available to the user by calculating the set of most relevant hypertext nodes for the user, utilizing the user profile and data clustering technique. An example is provided of an optimal cluster of relevant data items. (Author/LRW)

Presents a preliminary empirical test of a maximum likelihood approach to using relevance data for training information retrieval parameters. Discusses similarities to language models; the unification of document-oriented and query-oriented views; tests on data sets; algorithms and scalability; and the effectiveness of maximum likelihood…