Learning from User-generated Data
344.046, KV, 3h (4.5
ECTS), SS 2015
Dr. Peter Knees
13:45 - 15:15
Start: Tuesday, March 3, 2015
Location: MT 226
This class will be taught in English.
Class Objectives and Content
Students will acquire basic
knowledge for dealing with used-generated data in the fields of machine
learning and pattern recognition. They will learn about sources and
data extraction from the web and social media as well as techniques for
this data. The students' skills will be further developed through a
project involving work with real-world data.
The main topics covered include:
- sources for user-generated data
- mining and analysis of web content and structure
- mining and analysis of social media
- mining of user behaviour and feed-back (explicit and implicit)
- recommender systems
- strategies for personalisation of content and user interfaces
- context-aware search, retrieval, and recommendation.
real-world, user-generated data, students will conduct several tasks focusing on the topic of recommender systems.
last edited by ms on Feb 17, 2015