Abstract / Description of output
The Methodius Natural Language Generation systems generates personalized
descriptions of objects from a collection. As part of the user modeling
component, it creates comparisons between the current object being viewed
and previous objects from the user history. We present our general algorithm for
choosing the best comparison, which can be optimized to give the best result for
different domains through a parameterizable scoring function.
Original language | English |
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Title of host publication | Proceedings of the International Workshop on Personalization Enhanced Access to Cultural Heritage (PATCH07) |
Number of pages | 11 |
Publication status | Published - 2007 |