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A Content Based and Collaborative Filtering Recommender System
2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021Vignesh Thannimalai, Li Zhang 0013
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An Ontology- Content-based Filtering Method
2009Traditional content-based filtering methods usually utilize text extraction and classification techniques for building user profiles as well as for representations of contents, i.e. item profiles. These methods have some disadvantages e.g. mismatch between user profile terms and item profile terms, leading to low performance.
Shoval, Peretz +2 more
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Wave Signatures in Total Electron Content Variations: Filtering Problems
Remote Sensing, 2020Boris Maletckii, Yury Yasyukevich
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Recommendation Systems: Content-Based Filtering vs Collaborative Filtering
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022Sherin Eliyas, P. Ranjana
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Neural content-aware collaborative filtering for cold-start music recommendation
Data Mining and Knowledge Discovery, 2022Paul Magron, Cedric Fevotte
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VidAngel: Content filtering technologies, religion, and American copyright law
Internet Histories, 2021Andrew Ventimiglia, Gavin Feller
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Movie Recommendation Using Content-Based and Collaborative Filtering Approach
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2023Nidhi Agarwal
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Internet content filtering using isotonic separation on content category ratings
ACM Transactions on Internet Technology, 2007Ramayya Krishnan
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Boosting Memory-Based Collaborative Filtering Using Content-Metadata
Symmetry, 2019Kyung Soo Kim, Yong Suk Choi
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