Goal-Oriented Annotation Recommenders

Malte Kiesel; Inhy Hamed

In: P. Cimiano; O. Corcho; V. Presutti; L. Hollink; S. Rudolph (Hrsg.). The Semantic Web: Semantics and Big Data. European Semantic Web Conference (ESWC-13), SWCS2013@ESWC2013 Workshop on Semantic Web Collaborative Spaces, located at ESWC 2013, May 26-30, Montpellier, France, ISBN 978-3-642-38287-1, Springer, 2013.


With the rise of Web 2.0, the amount of information available to the users has grown tremendously. Recommendation systems have emerged as successful tools that look into the users' perspectives and accordingly provide users with information presumed to be of interest to them. Early generations of recommendation systems have achieved great success. However, in order to obtain more precise recommendations and improve the overall user experience, the need for fine-grained annotations that accurately describe the items has become essential. This gave rise to annotation recommenders that motivate users to annotate more. In this paper, two goal-oriented annotation recommenders are proposed, that aim at supporting different functionalities of the recommender system.


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