Personalizing digital services as exemplified by library recommendation service

Abstract

The possibility of designing recommendation system for library e-catalog as a recommendation service is examined. Several options for recommendations were considered, i.e. collaborative filtering method and content-based recommendations. The findings were used for building the recommendation service based on two recommendation algorithms – document-based collaborative filtering and content-based recommendations. Anonymized data on fulfilled orders and library’s e-catalog data are used as input data for recommendation system.