Abstract
We present an information customization framework that leverages a hybrid of adaptive hypermedia and intelligent techniques, in particular constraint satisfaction methods, to generate customized and factually consistent information based on a user profile. Information customization is modeled as a constraint satisfaction problem, whereby a solution is derived by (a) satisfying user-model constraints to select a user-specific set of ‘information snippets’; and (b) establishing inter-snippet consistency to ensure that all snippets are compatible with each other. Our approach takes the unique step of establishing factually consistency – via the satisfaction of inter-snippet constraints – between heterogeneous information snippets. A customized information package is generated by systematically synthesizing the set of user-specific and factually consistent information snippets. The featured information customization framework incorporates variations of various search and constraint satisfaction methods. The work is applied in an E-Healthcare setting leading to the generation of customized healthcare information.
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Abidi, S.S.R., Chong, Y.H. & Zeng, Y. Generating customized yet factually consistent information: a constraint satisfaction approach. Int J Digit Libr 6, 247–259 (2006). https://doi.org/10.1007/s00799-006-0003-4
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DOI: https://doi.org/10.1007/s00799-006-0003-4