Robotics & Artificial Intelligence
Suppose, you are building an AI application that recommends movies to viewers. Which data features would be important for this AI project?
AI Project Framework
2 Likes
Answer
For a movie recommendation AI, the data features should describe both the viewer and the movies, so the model can find patterns and recommend accurately.
Important data features for this AI project
1. Viewer features
- Movies/genres the viewer has watched
- Viewer’s ratings/likes/dislikes
- Watch time / completion rate (whether they finished or dropped a movie)
- Search history and movies added to watchlist
- Viewer preferences like language, age group, and preferred content type (action, comedy, family, etc.)
2. Movie (Item) features
- Genre (action, romance, thriller, etc.)
- Language
- Cast and director
- Release year
- Movie duration
- Keywords/tags (e.g., "school life", "sports", "superhero")
- Age rating (U/A, A, etc.)
3. Context features
- Time of viewing (weekend vs weekday, night vs day)
- Device/platform used (mobile/TV)
- What’s trending/popular in the region
These features help the AI learn relationships between viewer choices and movie characteristics, and then recommend movies that match the viewer's taste.
Answered By
2 Likes
Related Questions
List any five data features that will be required to build an AI system to classify images of animals into different species.
What is the difference between the rule-based approach and learning based approach of AI modelling?
What is data exploration? Explain pie and scatter chart.
Applying the 4Ws problem canvas, identify the stakeholders, nature of the problem, context, and benefits of solving the problem for the following scenario:
Developing a mobile app to help users track their daily water consumption