A Serendipity Model for News Recommendation

• Published in: KI 2015: Advances in Artificial Intelligence pp. 111 - 123
• Main Authors: Jenders, M., Lindhauer, T., Kasneci, G., Krestel, R., Naumann, F.
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2015
• Series: Lecture Notes in Computer Science
• Subjects: Cosine Similarity; News Article; Recommendation List; Recommender System; User Study

Recommendation algorithms typically work by suggesting items that are similar to the ones that a user likes, or items that similar users like. We propose a content-based recommendation technique with the focus on serendipity of news recommendations. Serendipitous recommendations have the characteris...