Print Email Facebook Twitter Evaluating the Performance of Different Models for Children’s Book Recommendations Title Evaluating the Performance of Different Models for Children’s Book Recommendations Author Qiu, Ziang (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 Recently, a few children-centered recommendation systems have been created and evaluated. How- ever, these systems required user interaction to cre- ate ground truth to evaluate the result. This research aims to compare some of the traditional recommen- dation models and explore which trait could impact the recommendation process most for different age group users. The result shows the children friendly model does not achieve higher accuracy than the traditional recommendation model. But the book length model and emotion analysis model shows the potential of a good RS that can help children choose books, and cover image recommendation models are only working with younger age Subject Recommender SystemInformation RetrievalChildren To reference this document use: http://resolver.tudelft.nl/uuid:fe9a3212-650a-46c8-ad0f-a8ef622649bc Part of collection Student theses Document type bachelor thesis Rights © 2023 Ziang Qiu Files PDF Ziang_Qiu_Final_Paper_10_.pdf 337.81 KB Close viewer /islandora/object/uuid:fe9a3212-650a-46c8-ad0f-a8ef622649bc/datastream/OBJ/view