Philip Mordecai Philip Mordecai

Research: Unlocking Film Fandom: AI and Machine Learning's Reign in Hybrid Movie Recommendations Through Text-to-Number Conversion and Cosine Similarity

In the ever-evolving landscape of digital entertainment, the integration of AI and machine learning techniques has revolutionized the way movies are recommended to audiences. This paper delves into the dominance of AI and machine learning methodologies in the realm of hybrid movie recommendations, employing innovative approaches such as text-to-number conversion and cosine similarity.

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Ibrahim Adeoye

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Philip Mordecai Philip Mordecai

Research: Fandom meets artificial intelligence: Rethinking participatory culture as human–community–machine interactions.

Fandom as an interpretive community is the frontier for rich insights into the multi-layered interactions and practices between individual users, communities and intelligent machines. This research paper examines the evolving relationship between fandom and Artificial Intelligence (AI), suggesting a shift from traditional text-audience relationships to human-community-machine interactions (HCMI).

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Eva Cheuk-Yin Li PhD

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