Lehrangebot. Fachgebiet Informationssysteme Prof. Dr. Norbert Fuhr

Transkript

1 Lehrangebot Fachgebiet Informationssysteme Prof. Dr. Norbert Fuhr N. Fuhr, U. Duisburg-Essen Lehrangebot 1

2 Lehrangebot des FG Informationssysteme Datenbanken Internet-Suchmaschinen Information Retrieval Information Mining Information Engineering

3 Internet-Suchmaschinen/ Einf. in Information Retrieval (Bachelor) Information Retrieval (Master)

4 Internet Search Engines Applications Web Search Engines

5 Internet Search Engines Applications Web Search Engines Internet Shops

6 Internet Search Engines Applications Web Search Engines Internet Shops Digital Libraries

7 Internet Search Engines Applications Web Search Engines Internet Shops Digital Libraries Multimedia Web Services (FlickR, itunes, LastFM, YouTube)

8 Internet Search Engines Applications Web Search Engines Internet Shops Digital Libraries Multimedia Web Services (FlickR, itunes, LastFM, YouTube)

9 Internet-Suchmaschinen: Fragestellungen Verständnis welche Dokumente sind suchbar? Das Suchwort steht gar nicht auf der Seite? 'Rathaus Duisburg' 'Duisburger Rathaus'?

10 Internet-Suchmaschinen: Fragestellungen Verständnis welche Dokumente sind suchbar? Das Suchwort steht gar nicht auf der Seite? 'Rathaus Duisburg' 'Duisburger Rathaus'? Suchkompetenz Operatoren:..., *, OR, NOT, inurl:, filetype: ähnliche Seiten Suchoptionen

11 Internet-Suchmaschinen: Fragestellungen Verständnis welche Dokumente sind suchbar? Das Suchwort steht gar nicht auf der Seite? 'Rathaus Duisburg' 'Duisburger Rathaus'? Suchkompetenz Operatoren:..., *, OR, NOT, inurl:, filetype: ähnliche Seiten Suchoptionen Anbietersicht Wie kommt meine Seite bei Google nach oben? Wie setze ich eine eigene Suchmaschine auf? Wie sollte ich das Benutzerinterface gestalten?

12 Learning to Rank

13 Learning to Rank Fuhr 1992

14 Information Mining Tasks: Classification Numeric prediction Associations Clustering Applications in Business Intelligence Smart Home Self-Driving Cars Big Data Analytics.

15 Classification Examples Will there be rain tomorrow?

16 Classification Examples Will there be rain tomorrow? Will the applicant cause a traffic accident next year?

17 Classification Examples Will there be rain tomorrow? Will the applicant cause a traffic accident next year?

18 Classification Examples Will there be rain tomorrow? Will the applicant cause a traffic accident next year? Will the client be able to pay back his loan?

19 Classification Examples Will there be rain tomorrow? Will the applicant cause a traffic accident next year? Will the client be able to pay back his loan? Is there a traffic jam?

20 Classification Examples Will there be rain tomorrow? Will the applicant cause a traffic accident next year? Will the client be able to pay back his loan? Is there a traffic jam?

21 Classification: Billboard or Truck?

22 Classification: Billboard or Truck?

23 Examples for numeric prediction How many rolls will be sold tomorrow?

24 Examples for numeric prediction How many rolls will be sold tomorrow? How many tourists /business travellers will need a hotel romm in our city at a specific date?

25 Examples for numeric prediction How many rolls will be sold tomorrow? How many tourists /business travellers will need a hotel romm in our city at a specific date? How many people will want to fly from A to B on xx.xx?

26 Examples for numeric prediction How many rolls will be sold tomorrow? How many tourists /business travellers will need a hotel romm in our city at a specific date? How many people will want to fly from A to B on xx.xx?

27 Examples for associations Shopping basket analysis: Men buying diapers, often also shop for beer Transaction analysis of credit cards, customer card, Payback cards

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30 Internet of Things

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32 Information Engineering Information Life Cycle Information Behavior, Seeking, Searching Modelle, Methoden: Information Retrieval, Ontologien, Evaluierung Systeme: Digitale Bibliotheken, Enterprise Search, Recommender, Social Media

33 RTG: User-Centred Social Media User GRK 2167 System Crowd

34 RTG: User-Centred Social Media User Trust, Bias & Decision Support GRK 2167 System Crowd

35 RTG: User-Centred Social Media User Trust, Bias & Decision Support GRK 2167 System Collaboration Crowd

36 RTG: User-Centred Social Media User Trust, Bias & Decision Support GRK 2167 System Collaboration Crowd Privacy & Awareness

37 RTG: User-Centred Social Media User Trust, Bias & Decision Support GRK 2167 System Collaboration Crowd Privacy & Awareness

38 Lehrangebot Datenbanken (Bachelor) Internet-Suchmaschinen (Bachelor, nicht im SS18) Information Retrieval (Master, SS18 als Deep Learning in IR) Information Mining (Master) Information Engineering (Master, SS18 WS18/19) Studien/Praxisprojekte Seminare Bachelor-/Masterarbeiten

39 Exam Results Spring 2017 (Mainly Information Mining) Ang. Inf., Komedia, BWL

40 Exam Results Spring 2017 (Mainly Information Mining) ISE Ang. Inf., Komedia, BWL