Print Email Facebook Twitter The Words are not Enough Title The Words are not Enough: An Investigation into the Viability of Textual Complexity as a Feature for Recommendation Systems Author van Smaalen, Mees (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Pera, M.S. (mentor) Brinkman, W.P. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2023-02-03 Abstract Reading is an essential skill for any child to learn, and finding enjoyment in it can greatly contribute to developing proper reading comprehension. Finding the books they like could prove to be difficult. Utilizing collaborative filtering recommender systems to recommend books to children is a tricky task, the lack of user feedback makes it difficult to accurately recommend books they would enjoy. Using content based recommender systems might be preferable, but what book features could a recommender system like this base recommendations on? This research explores the idea of utilizing the textual complexity of books and their descriptions as such a possible feature. By evaluating how accurate readability formulas can predict the age a book is intended for, how the variability and length of sentences vary per age and analysing the difficulty of words used, this paper finds that the descriptions of books intended for younger audiences might not be aimed at them, but instead at their parents. These findings imply that basing recommendations of the textual complexity of book descriptions might not be the most useful feature to base recommendations of. Subject Textual ComplexityRecommender System FeaturesReadability To reference this document use: http://resolver.tudelft.nl/uuid:9d0d8205-9f2d-44a1-b951-4c9d1015b58b Part of collection Student theses Document type bachelor thesis Rights © 2023 Mees van Smaalen Files PDF Final_Paper_Children_RecS ... s_4_1_.pdf 604.65 KB Close viewer /islandora/object/uuid:9d0d8205-9f2d-44a1-b951-4c9d1015b58b/datastream/OBJ/view