Tag Recommender Systems

Enhancing Manga and Anime Recommendations through Poster Features and Deep Learning Techniques

In the rapidly evolving world of entertainment, the consumption of anime and manga has exploded globally. Yet, within this expansive universe lies a significant challenge known as the cold-start problem in recommendations. This issue becomes even more pronounced when recommending… Continue Reading →

RiPLE: Revolutionizing Peer Learning with Personalized Recommendations

Peer learning environments in post-secondary education are evolving rapidly, with a focus on empowering students to create and share learning resources. However, the sheer volume of content generated in these environments can pose a significant challenge for students trying to… Continue Reading →

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