digital academic infrastructure

While there is always the alternative of CBF, CF recommenders are currently known to produce better results in most scenarios. An important issue is that CF recommender systems for research can already be developed by companies that have many users on their platform and consequently collect and own such rich interaction data. However, these solutio... See more

At the moment, the CORE recommender provides non-personalised content-based article recommendations from across the global open access repositories and journals network. In the future, we want to transform our recommender from a pure CBF recommendation engine to a solution that can also deliver personalised recommendations using CF based on past us... See more