CSCI5123: Recommender Systems

3 Credits

An overview of recommender systems, including content-based and collaborative algorithms for recommendation, programming of recommender systems, and evaluation and metrics for recommender systems. prereq: Java programming and 2033 and 3081, or instructor consent.

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A- Average (3.546)Most Common: A (47%)

This total also includes data from semesters with unknown instructors.

213 students
SNWFDCBA
  • 4.13

    /5

    Recommend
  • 3.81

    /5

    Effort
  • 4.42

    /5

    Understanding
  • 4.26

    /5

    Interesting
  • 4.00

    /5

    Activities


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