: A study on IEEE Xplore details algorithms that use viewing history and specific "style and theme" tags to improve accuracy.
Academic papers often move beyond just "recommending" a series and instead analyze why they are popular or how they are suggested to users. Recommendation Systems & Machine Learning : A study on IEEE Xplore details algorithms
Recent papers focus on solving "decision fatigue" through sophisticated algorithms: 🔬 Featured Research Topics If you are looking
: Focuses on comics scholarship, including the formal properties of manga. 🔬 Featured Research Topics including the formal properties of manga.
If you are looking for formal research papers, these are the primary peer-reviewed journals dedicated to the subject:
: Papers on ResearchGate discuss using K-Means clustering to tailor suggestions based on individual ratings. Cultural & Social Analysis
: Research published in Digital Press explores combining machine learning with user behavior to create personalized watchlists.