Ingo Schwab, Alfred Kobsa, and Ivan Koychev. Learning user interests through positive examples using content analysis and collaborative filtering. draft from Fraunhofer Institute for Applied Information Technology, Germany, 2001.

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The Context-Based Constraint Language Ccl For Components - Bubl (2002)   (1 citation)  (Correct)

....suggests to define information need via CoCons. Information Need CoCons specify which elements are interested in which Information Need CoCons elements depending on the current context of the elements. Moreover, they specify with elements are as interesting as other elements. According to [53], user adaptive systems typically learn about individual Related Research users by processing observations about individual behaviour. However, it may take a significant amount of time and a large number of observations to construct a reliable model of user interests, preferences and other ....

Ingo Schwab, Alfred Kobsa, and Ivan Koychev. Learning user interests through positive examples using content analysis and collaborative filtering. draft from Fraunhofer Institute for Applied Information Technology, Germany, 2001.

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