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.


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Authors: OpenMinTeD
Publication year: 2017
Language: English (EN)
Level of knowledge: Introductory: aware of
Usage rights: Attribution - CC-BY