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B.E. (Artificial Intelligence and Data Science) Recommendation Systems Lab Syllabus - Mumbai University 2026

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

Recommendation Systems Lab.pdf
Semester 8 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Recommendation Systems Lab

Semester 8 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

  • Implementation of Matrix operations and data representation towards understanding mathematics for recommendation system

Module 2

  • Experiment on the role of clustering methods with respect to recommendation systems

Module 3

  • Feature engineering and pre-processing of data for recommendation systems.

Module 4

  • Implementation of Bayes classifier for recommendation.

Module 5

  • Implement User-based Nearest neighbor recommendation.

Module 6

  • Implement Item-based Nearest neighbor recommendation

Module 7

  • Implement Content-based recommendation system.

Module 8

  • Implement Knowledge-based recommendation system.

Module 9

  • Implementation of a recommendation system using Hybrid approach.

Module 10

  • Implementation of a recommendation system using Ensembled approach.

Module 11

  • Implementation of a Regression based recommendation system.

Module 12

  • Analyze results on the basis of different evaluation parameters and graphical representations for recommendation systems.

Module 13

  • Mini Project Report: For any one chosen real world Recommendation systems application.

Module 14

  • Implementation and Presentation of Mini Project

Useful Links

  • 1 https://towardsdatascience.com/recommendation-systems-explained-a42fc60591ed
  • 2 https://www.coursera.org/specializations/recommender-systems

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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