E-learning Recommender System Dataset

Contents & fields

The dataset includes users, items, explicit ratings, and implicit ratings in CSV files for both French and English versions. User IDs and item IDs are consistent across files. Fields include:

• user_id——Unique user identifier
• job——User's job (if available)
• item_id——Unique item identifier
• language——Item language (French or English)
• name——Item name
• nb_views——Number of views of the item
• description——Item description
• created_at——Timestamp of rating or item creation
• Difficulty——Item difficulty
• Job——Job related to the item
• Software——Software related to the item
• Theme——Item theme
• duration——Item duration
• type——Item type
• watch_percentage——Watch percentage (explicit ratings)
• rating——Explicit rating value

Research uses

Suitable for recommender system research in education, especially algorithm evaluation based on explicit and implicit feedback, and comparison of recommendation effectiveness in multilingual environments.

Information comes from the source page. Please check that page for current details and terms.