Evaluation Measures for Search and Recommender Systems

Instructor: James Briggs

Duration: 1.00

Instructor

Tips for Instructor:
1.Research the instructor's qualifications, experience, and expertise.
2.Check if the instructor has a personal website or social media profiles.
3.Look for reviews or ratings of other courses taught by the instructor.
4.Contact the course platform or instructor directly for more information.

I Know

Duration

Short Duration: Short courses are often focused on a specific skill or topic and can be completed quickly. They may be ideal for users who want to learn something new but have limited time.

I Know

This course provides an introduction to evaluation measures for search and recommender systems. It covers topics such as offline metrics, dataset and retrieval 101, [email protected], MRR, [email protected], [email protected], and [email protected]. It also provides an overview of the pros and cons of each evaluation measure. The course is taught in Python and provides a comprehensive overview of the evaluation measures used in search and recommender systems. It is perfect for anyone looking to gain a better understanding of these systems and how to evaluate them. ▼▲