Malte Ostendorff

Contextual Document Similarity for Content-based Literature Recommender Systems

2020 · arXiv (Cornell University)

To cope with the ever-growing information overload, an increasing number of digital libraries employ content-based recommender systems. These systems traditionally recommend related documents with the help of similarity measures. However, current document similarity measures simply …