2 papers
cs.IR2022
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
Malte Ostendorff, Till Blume, Terry Ruas +2
Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarit…
cs.IR2021
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles
Malte Ostendorff, Corinna Breitinger, Bela Gipp
Literature recommendation systems (LRS) assist readers in the discovery of relevant content from the overwhelming amount of literature available. Despite the widespread adoption of…