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About A Deep Learning Recommender System For Anime
This document is a research project proposal for a Master's student titled "A Deep Learning Recommender System for Anime". The student, Vidyashree Mahaling Mutteppagol, proposes building a recommender system using a model-based collaborative filtering approach with deep learning to provide personalized anime recommendations. The goal is to address issues like cold starts and improve prediction accuracy for recommendations. The research questions whether such a system can be built and the objectives include designing the system and evaluating the impact of activation functions on error rates and recommendations. The proposed system could benefit anime fans and the industry by helping users discover new content.
Detailed Information
| Author: | ['Sabri GOCER'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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