Smart Book Recommender

An ontology-based recommender system for books, journals, and conference proceedings

The Smart Book Recommender (SBR) is a ontology-based recommender system, developed in collaboration with Springer Nature, which suggests books, journals and conference proceedings that are likely to be relevant to the attendees of a given conference. It relies on a background knowledge of 27K books and 270 journals. Each editorial product is represented as a distribution of research topics drawn from the Computer Science Ontology, a large-scale automatically-generated ontology of research fields. In addition, SBR offers an advanced interface for visualizing and comparing the taxonomy of research areas associated with each item. This solution allows users to comprehend the rationale behind the recommendation and to gain a good understanding of the content of each editorial product.

Partners

• Springer Nature

KMi Reporter

Thanapalasingam, T., Osborne, F., Birukou, A. and Motta, E. (2018) The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products, Demo at International Semantic Web Conference 2018, Monterey, California, USA