Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric

no code implementations • 12 Aug 2019 • Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie Lindstaedt, Elisabeth Lex

Our idea is to mimic the vocabulary of users in Amazon, who search for and review e-books, and to combine these search terms with editor tags in a hybrid tag recommendation approach.

Descriptive Recommendation Systems +3

Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets

no code implementations • 12 Aug 2019 • Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie Lindstaedt, Roman Kern, Elisabeth Lex

The presented work contributes to the tripartite recommendation problem in general and to the under-researched portfolio of evaluating recommender systems for data markets in particular.

Collaborative Filtering Recommendation Systems