A very fast prototype retrieval system using statistical ranking

Harmon, Debra; Candela, Gerald T.

doi:10.1145/74697.74703

Cited by 8 publications

(2 citation statements)

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“…All of us working at Cornell University during that time wanted to run a full-scale comparison between these systems to demonstrate what was to us the clear superiority of a ranking retrieval system [italics added]. (Harman & Candela, 1989) This quote illustrates very well the atmosphere of the experiment and the eagerness of all the participants "to demonstrate what was to us the clear superiority of a ranking retrieval system." But what would have happened if the experiments were conducted by the creators of a new Boolean system who were convinced of its "clear superiority" and tried to demonstrate this superiority?…”

Section: Analysis Of the Existing Criticism Of A Boolean Systemmentioning

confidence: 99%

Boolean search: Current state and perspectives

Frants¹,

Shapiro²,

Voiskunskii³

et al. 1999

J. Am. Soc. Inf. Sci.

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Most of the operational information retrieval (IR) systems in existence today useBoolean logic during search. Such systems are usually called Boolean IR systems. These systems, as any other IR systems, are not perfect and the problem of their development (and hence providing better quality service for real users) is one of the most important problems in Information Science. From this viewpoint, the article analyzes existing criticisms of operational systems and points out some of their positive features. At the same time, certain negative effects which hinder the development of existing systems are considered. Finally, the article provides several conclusions about using Boolean logic in developing multiversion IR systems.

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Section: Analysis Of the Existing Criticism Of A Boolean Systemmentioning

confidence: 99%

Boolean search: Current state and perspectives

Frants¹,

Shapiro²,

Voiskunskii³

et al. 1999

J. Am. Soc. Inf. Sci.

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“…Experiments were run to test various efficiency algorithms, with the result s always being tested using the standard test collection t o ensure that improvements in response time had no t sacrificed effective performance . A detailed descriptio n of the prototype data structures, the algorithms selected , and the experiments themselves is given in an earlie r paper (Harman & Candela 1989) . A brief overview o f the system internals is presented below .…”

Section: Prototype Descriptio Nmentioning

confidence: 99%

Bringing natural language information retrieval out of the closet

Harman¹,

Candela²

1990

SIGCHI Bull.

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Abstrac tA prototype information retrieval system wa s developed that gives users fast and easy access to textua l information . This system uses a statistical ranking methodology that allows a user to input a query usin g only natural language, such as a sentence or a nou n phrase, with no special syntax required. The syste m returns a set of text titles or descriptions, ranked in order of likely relevance to the query . The user can then select one or more titles for further examination of th e corresponding text . The prototype was tested by ove r forty users, all proficient in doing manual research in th e subject area, but few proficient in doing online research . The system was very fast, providing response times on the order of one second for searching a gigabyte of dat a and was also very effective, retrieving at least on e relevant record within the first ten records retrieved fo r 53 out of 68 test queries. All users were able to ge t satisfactory results within a short time after seeing a demonstration, and those that had never used an onlin e retrieval system did as well as those with experience . This is in sharp contrast to Boolean based retrieva l systems where continual use is necessary to obtai n consistently good results . SIGCHI Bulletin July 1990

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