|Lehrveranstaltung||Seminar: Recommender Systems and Social Networks (IN0014, IN2107, IN8901)|
|Zielgruppe||Bachelor Wirtschaftsinformatik; Master Wirtschaftsinformatik; Bachelor Informatik; Master Informatik;|
|Inhalte||Recommender systems have come of age and have become integral parts of our everyday life on the Web. They represent suitable means for decision support and are thus of utter practical relevance while – at the same time – being based on solid theoretical foundations in statistics and machine learning.|
At the same time, by means of the advent of the Web 2.0, social networks and their analysis have gained momentum.
Their amalgamation with recommender systems, in particular in application scenarios governed by decentralization of data storage and control, appears as the next logical step.
The seminar at hand aims to investigate the foundations and algorithmic clockworks of recommender systems, their limitations and applications to different domains, as well as their noted amalgamation with social networks.
|Generelle Hinweise|| Important Dates|
Block I: Kick-Off Meeting
Submission of presentations for review
Submission of final presentations
Block II: Presentations
Submission of term papers
Note: Topics and literature suggestions will be presented and handed out in the first session
Contact person TUM
|Termine und Ort||See above (May, 11 / June, 08 / June, 12 / June, 15 / June, 16 / June, 29)|