Print Email Facebook Twitter Tikhonov and Sobolev regularisers compared to user-based KNN collaborative filtering Title Tikhonov and Sobolev regularisers compared to user-based KNN collaborative filtering Author Monté, Sérénic (TU Delft Architecture and the Built Environment; TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Isufi, E. (mentor) Yang, M. (mentor) Zarras, A. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-23 Abstract Collaborative filtering is used to predict the preference or rating of a user for a certain item. Collaborative filtering is based on the notion that similar users rate similarly. A lot of research is done on how to improve this algorithm, mostly with deep learning. A less investigated field for recommender systems is graph signal processing. Graph signal processing is used to reconstruct a graph signal based on the surrounding nodes. The item ratings of a user can be represented as a graph signal. So it is possible to use graph signal processing as a recommender system. In this paper we investigate how the Tikhonov and Sobolev graph regularisers perform for user-based KNN collaborative filtering. We investigated this by comparing the performance of the collaborative filtering algorithm with the two graph regularisers. We found that the Tikhonov regulariser and the Sobolev regulariser performed very similar to user-based KNN collaborative filtering. This means that the added complexity of the graph regularisers did not increase the quality of predictions we can already make with collaborative filtering. Subject Tikhonov regulariserSobolev regularisercollaborative filteringuser-based To reference this document use: http://resolver.tudelft.nl/uuid:fbf1734d-b022-47da-99fb-5bf0f81d7963 Part of collection Student theses Document type bachelor thesis Rights © 2022 Sérénic Monté Files PDF Serenic_RP_graph_recommen ... _final.pdf 11.33 MB Close viewer /islandora/object/uuid:fbf1734d-b022-47da-99fb-5bf0f81d7963/datastream/OBJ/view