6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.IR2020★ 1 cited
Assessing the Helpfulness of Review Content for Explaining Recommendations
D. C. Hernandez-Bocanegra, J. Ziegler
Despite the maturity already achieved by recommender systems algorithms, little is known about how to obtain and provide users with a proper rationale for a recommendation. Transpa…
cs.IR2018★ 6 cited
Understanding Latent Factors Using a GWAP
Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
Recommender systems relying on latent factor models often appear as black boxes to their users. Semantic descriptions for the factors might help to mitigate this problem. Achieving…