Document (#26235)

Author

Kuflik, T.
Shapira, B.
Shoval, P.

Title

Stereotype-based versus personal-based filtering rules in information filtering systems

Source

Journal of the American Society for Information Science and technology. 54(2003) no.3, S.243-250

Year

2003

Abstract

Kuflick, et alia, test whether an e-mail filter based on personally designed rules will be as effective as one whose rules are designed to reflect the average user in a specified group of users. Using a prototype filtering system ten subjects were interviewed to construct their own personal rules and were also assigned to one of four predefined rule sets generated by cluster analysis from 40 interviews using the same instrument with like subjects. Assignment was based upon social parameters such as education, profession, and computer knowledge level in the data gathered. The rules led to assignment of a relevance number in the range 1 to 7 to each message based upon the participant chosen values of goal, length, and history parameters of the message. A set of e-mail messages was then supplied to the 10 subjects who ranked them as to relevance. Pearson coefficients between personal rule ranks and user ranks are consistently lower than the correlations between user ranks and the stereotype ranks but in only three cases significantly so.

Object

Email

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