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Electronic hypertext catalogues provide an important channel for information provision. However, static hypertext documents cannot be dynamically adapted to help the user find what he/she is looking for. We demonstrate that natural language generation techniques can be used to produce tailored hypertext documents, and we focus on two key benefits of the resulting DYNAMIC HYPERTEXT. First, documents can be tailored more precisely to an individual’s needs and background, thus aiding the search process. Secondly, the incorporation of techniques for comparing catalogue items allows the user to search still more effectively. We describe the automatic generation of hypertext documents containing comparisons, with illustrations from two implemented systems.
Milosavljevic et al. (Thu,) studied this question.
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