Record Recommendations for the CERN Document Server

CERN Document Server (CDS) is the institutional repository of the European Organization for Nuclear Research (CERN). It hosts all the research material produced at CERN, as well as multi- media and administrative documents. It currently has more than 1.5 million records grouped in more than 1000 collections. It’s underlying platform is Invenio, an open source digital library system created at CERN. As the size of CDS increases, discovering useful and interesting records becomes more challenging. Therefore, the goal of this work is to create a system that supports the user in the discovery of related interesting records. To achieve this, a set of recommended records are displayed on the record page. These recommended records are based on the analyzed behavior (page views and downloads) of other users. This work will describe the methods and algorithms used for creating, implementing, and the integration with the underlying software platform, Invenio. A very important decision factor when designing a recommender system is the analysis of the available data. Based on the CDS data a recommender system using a user-record graph is designed and implemented. Finally, the implementation is evaluated to determine the optimal parameters and the performance of the recommender system. Although this recommender sys- tem is based on the CDS data, it is generic enough to be used for other digital libraries powered by Invenio.