TDMstory: We look at recommending articles to users
Daniel Kershaw works at Mendeley and focuses on recommending recommender systems through text similarity comparisons. They use text and data mining within the pre-filtering and post-filtering stages of their systems.
Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS
ATTRIBUTION 4.0 INTERNATIONAL LICENSE.
This project has received funding from the European Union’s Seventh Framework Programme for research,
technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research,
technological development and demonstration under agreement no 741839.