Recommender Systems: Evaluation and Metrics

The University of Minnesota, established in 1851 with campuses in Minneapolis and St. Paul, is a major public research university known for academic breadth and research excellence. Home to roughly 50,000 students including around 6,000 international students, the university offers more than 500 programs across liberal arts, sciences, engineering, business, and health sciences. Its long history is matched by a strong commitment to interdisciplinary collaboration and real-world impact.

U of M provides extensive research facilities, professional schools and centers that support hands-on learning, internships and industry partnerships. Students access world-class libraries, laboratories and clinical training sites, while faculty are active in cutting-edge research across fields. The Twin Cities location offers connections to a diverse economy, numerous employers and cultural institutions that enrich learning and career development.

Campus life is vibrant with student organizations, athletics, arts and public service opportunities that support personal growth and leadership. International students find dedicated advising, language support and career services to help transition to study and work in the U.S. The university’s combination of rigorous academics, practical experience and strong employer links makes it an attractive choice for students aiming to develop both expertise and professional readiness.

The Recommender Systems: Evaluation and Metrics program is for students who want to learn about recommender systems. This non-degree program is taught in English and can be completed online in a few weeks. It helps students understand how to evaluate and measure recommender systems.

The program covers specific subjects like metrics and evaluation methods. Students develop skills in data analysis and problem-solving. They also get hands-on experience with real-world examples and case studies.

After completing this program, students can pursue careers like Data Analyst, Business Intelligence Developer, or Operations Research Analyst. They can work in industries like e-commerce, healthcare, or finance for employers like Amazon, Google, or IBM.