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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Degree ProgrammesCambia LinguaCambia Lingua
Course Details

Context
Academic Year 2015/2016
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
Track T2A - COMPUTER SCIENCE AND ENGINEERING
Programme Year 2

Course Details
ID Code 097686
Course Title RECOMMENDER SYSTEMS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.00
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 Credits (CFU)
B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

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--AZZZZCremonesi Paolo
17/01/2018 Area Servizi ICT v. 2.8.2 / 2.8.2