Department of Computational Perception

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Computational Perception

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Learning from User-generated Data

344.046, KV, 3h (4.5 ECTS), SS 2017

Assoc.-Prof. Dr. Markus Schedl

Time: Tuesday, 13:45-16:15
Start: March 7, 2017
Location: S2 053

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 methods for data extraction from the web and social media as well as techniques for processing this data. The students' skills will be further developed through a practical 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

Practical Exercise

Using real-world, user-generated data, students will conduct several tasks centered around the topic of recommender systems.

last edited by ms on Feb 9, 2017