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Message extraction through estimation of relevance technical report 78-30
... Experimentation with relevance feedback as described here so far does net indicate that there is any general limit on the times that it can be applied. This ~ontrasts with the algorithm used by the SMART system (see [16] where relevance feedback will work about twice before convergence occurs and the same messages ~re retrieved over a~d over, It is unclear yet why feedback works differently in METER, but its inclusion seems to provide a much more flexible browsing facility, Other forms of relevance feedback are discussed in [i], [2] (with local associations), and in [6], [13] and [15] (with emphasis on using the relevance information to adjust query weights, and no stem associations). 8, USER INTERFACE The METER user's interface evolved as the result of showing the system to a variety of people, both military and civilian, technical and nontechnical, The original implementation of METER as a scaled system was primarily for t@sting out algorithms and had little in the way of support for a noDexpert user except for accepting free-format queries and listing rc~ trieved messages in order of estimated relevance. ...
METER is a text analysis and retrieval system for non-expert computer users to exploit statistical associations between index terms of documents. It will run on a DEC PDP-11/45 minicomputer with continually changing collections of up to 20,000 documents at a time. A scaled version of METER with all major features of the full system has been implemented on a DEC PDP-11/70 as an experimental test bed for evaluation and comparison of associative retrieval algorithms. Although the basic structure of METER is similar to earlier statistical systems for retrospective document searches, the severe requirements of frequent updates of a document collection, of running on a small processor, and of meeting needs of users with little technical training have led to some novel developments. Among these are an update procedure that draws as much as possible on intermediate results from previous updates and a user interface that provides for control over the process of retrieval without calling for knowledge of how that process works.
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