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1. http://images.cdn.fotopedia.com/flickr-5959361987-hd.jpg Information Retrieval and Interaction

2. Information Retrieval and Interaction (IRI) • 7,5 ECTS course (Block 2, second half of term) • Joint course with the Human Centered Computing group at the Department of Computer Science (DIKU) • Part of the Master in Computer Science and the Master in IT and Cognition • Instructors • Christina Lioma (DIKU, Assistant Professor) • Mikkel R. Jakobsen (DIKU, Assistant Professor) • Birger Larsen (IVA, Associate Professor) • Toine Bogers (IVA, Assistant Professor)

3. Course objectives • Offer an advanced introduction into information retrieval and interaction. • Understand, and model, how people search for, access and use information • In order to design and evaluate: • Reliable retrieval algorithms • User interfaces that support the information seeking process

4. Main focus • How can we design efficient retrieval systems? • How can we design effective retrieval systems? • How can we study users’ interaction with retrieval systems, and use this knowledge to evaluate and improve system usability?

5. Content blocks • Architecture of an IR system • Basic building blocks • Crawling, filtering and storing information • Ranking with indexes • Information ranking models • Probabilistic & machine learning models • Complex queries and combing evidence • Domain-specific ranking • Evaluation and optimisation • User behaviour and interaction • Models of information seeking • Search user interfaces & query specification • Result presentation, personalisation & visualisation • Evaluation

6. Knowledge, skills and competencies • Knowledge • Identify and explain • the basic architecture of retrieval systems • the basic models and techniques of collecting, storing and ranking information • the basic models of the user information seeking process • the benefits and drawbacks of different search interface techniques • different criteria for information retrieval and interaction evaluation

7. Knowledge, skills and competencies • Skills • Students should be able to transfer the above knowledge to real-world tasks by: • Designing appropriate strategies for crawling, storing and ranking information • Appraising user information seeking models and selecting between search interface strategies • Planning and carrying out appropriate evaluations

8. Knowledge, skills and competencies • Competences • Ability to explain the basic information retrieval and interaction principles to both laymen and specialists • Ability to use standard procedures and practices when designing or implementing information retrieval and interaction solutions • Ability to present evaluation analyses and results in a proper format of a written report such that a technically qualified person can follow • Given a working retrieval system, students should be able to: • Diagnose problems in its main information processing and user interaction functions, and • Design and calibrate appropriate solutions

9. Forms of tuition • The course will use a combination of lectures, lab sessions, class discussions and student presentations. • Where possible, relevant guest lecturers will be involved. • Students are expected to • attend lectures and lab sessions • Be prepared and to be active in class • show initiative in their assignments

10. Seminar on Information Retrieval at DR • Wednesday June 26, 2013 • Keep an eye on the IVA web site • Visiting researcher, Dr. Tony Russell-Rose, director of Uxlabs ltd. • Programme • Tony Russell-Rose on Designing the Search Experience • Master class with DR designers and developers • KristianNorling, Findwise AB on Persistence, user feedback and metadata, the Findwise findability survey and products for media search • Daniel Boland, University of Glasgow, on The future of music interaction • Marianne Lykke, AAU on Interacting with sound archives