I’m relatively new to KNIME, but I’m excited to start building a simple model to predict whether a user will like a specific movie based on their past reviews. Initially, I wanted to create a model that could recommend the perfect movie for a group’s movie night, but I’ve realized that this might be too ambitious for my current time frame.
For this project, I plan to use the MovieLens dataset, which includes:
User data: Information such as user ID, age, gender, and occupation.
Movie data: Information about the movies, including movie ID, title, and genres (e.g., Action, Comedy, Drama).
Ratings data: Ratings provided by users, including user ID, movie ID, rating (1-5), and timestamp.
I would greatly appreciate any guidance or advice on how to approach this in KNIME!
Thanks for sharing your the post! I had seen it and it sounds really interesting, but it feels a bit advanced for where I’m currently at with KNIME. I’d like to start with something simpler to get the basics down. Could you help me figure out how to create a basic model as a starting point?