Contextual Document Similarity for Content-based Literature Recommender Systems

Understand

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 distinguish between similar and dissimilar documents.
• This simplification is especially crucial for extensive documents, which cover various facets of a topic and are often found in digital libraries.