User Trace-Based Recommendation System for a Digital Archive

Reim Doumat 1 Elod Egyed-Zsigmond 1 Jean-Marie Pinon 1
1 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Precious collections of cultural heritage documents are available for study on the internet via web archives. The automatically added metadata on these scanned documents are not sufficient to make a specific search. User effort is needed to add manual annotations in order to enhance document content accessibility and exploitability. Annotators have different experiences in dissimilar document domains. Hence the reuse of users’ experiences is constructive to accelerate the annotation process and to correct user mistakes. In this article we present our digital archive model and a prototype to collaboratively annotate online ancient manuscripts. Our system tracks important user actions and saves them as traces composed of hierarchical episodes. These episodes are considered as cases to be reused by a recommender system.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01381583
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Submitted on : Friday, October 14, 2016 - 2:49:33 PM
Last modification on : Friday, January 11, 2019 - 5:09:22 PM

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Reim Doumat, Elod Egyed-Zsigmond, Jean-Marie Pinon. User Trace-Based Recommendation System for a Digital Archive. ICCBR 2010, Jul 2010, Alexandria, Italie, Italy. pp.360-374, ⟨10.1007/978-3-642-14274-1_27⟩. ⟨hal-01381583⟩

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