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Jerne’s idiotypic network theory stresses the importance of antibody-to-antibody interactions and provides possible explanations
for self-tolerance and increased diversity in the immune repertoire. In this paper, we use an immune network model to build
a user profile for adaptive information filtering. Antibody-to-antibody interactions in the profile’s network model correlations
between words in text. The user profile has to be able to represent a user’s multiple interests and adapt to changes in them
over time. This is a complex and dynamic engineering problem with clear analogies to the immune process of self-assertion.
We present a series of experiments investigating the effect of term correlations on the user’s profile performance. The results
show that term correlations can encode additional information, which has a positive effect on the profile’s ability to assess
the relevance of documents to the user’s interests and to adapt to changes in them. 相似文献
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Susan F. Hirsch 《American anthropologist》2000,102(1):169-170
Just Words: Law, Language, and Power. John M. Conley and William M. O'Barr. Chicago: The University of Chicago Press, 1998. 168 pp. 相似文献
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