User-based Collaborative Filtering Movie Recommender based on MovieLens dataset
- Identify and prepare the data
- Find Similar users based on interactions with common items
- Identify items rated highly by similar users but the target user has not been exposed to or interacted with
- Calculate the weighted average score for each item
- Rank items based on score and recommend top “n” items