I am actively helping further enhance CORE’s recommendation and search engines, including tasks ranging from (big) data processing to algorithm implementations that suit our users' needs. In collaboration with the rest of the team, these solutions are tested on a daily basis on KMi infrastructure and their performance evaluated on them. Lastly, I am catering to the creation and provision of analytics metrics to track the impact of our in-house solutions with the rest of the world.

Keys: (Big) Data processing & modelling, Analytics & Metric Tracking, Machine & Text Learning

Charalampous, A. and Knoth, P. (2017) Classifying document types to enhance search and recommendations in digital libraries, 21st International Conference on Theory and Practise of Digital Libraries (TPDL), Thessaloniki, Greece

Knoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S., Pontika, N. and , v. (2017) Towards effective research recommender systems for repositories, Open Repositories 2017

Pontika, N., Knoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S. and , v. (2017) The uptake of the CORE recommender in repositories