Study of linguistic features incorporated in a literary book recommender system
Haifa Alharthi, Diana Zaiu Inkpen · 2019
As reading for pleasure is declining, particularly among the young, we are motivated to investigate the textual elements that may play a role in generating high-quality book recommendations. Two recommendation algorithms were trained on more than a hundred features learned from the full text of the books. Both algorithms generate more accurate lists of suggested books than many competitive recommender systems. Exploration of the key textual elements is conducted together with qualitative analysis.