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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
CSimilar or integrative activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2017/2018
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (474) Telecommunication Engineering
Track Z2E - TECHNOLOGIES
Programme Year 1

Course Details
ID Code 097686
Course Title RECOMMENDER SYSTEMS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description Recommender systems aim to support users in their decision-making while interacting with large information spaces. They recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems help overcome the information overload problem by exposing users to the most interesting items, and by offering novelty, surprise, and relevance. This course gave a tutorial about the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include a number of algorithms that result in techniques. The course also explore alternative techniques of evaluating recommender systems.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
C
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupLecturer(s)LanguageTeaching Assignment Details
From (included)To (excluded)
---------Docente non definito---
manifesti v. 3.7.7 / 3.7.7
Area Servizi ICT
16/01/2025