Interactive Information Retrieval: Beyond Precision and Recall
This event took place on Wednesday 09 September 2009 at 11:30
Adbigani Diriye
Traditionally, Information Retrieval has been concerned with matching some query against a collection of text documents, images, videos or sound files. Research in this field has mostly tried to improve how well retrieval happens. But, this approach has largely neglected the role the user plays during this process. By not taking into account the user and their interaction with the system, we fail to arrive at insights into real system use. In this talk, we present research methodologies that provide a user-centered perspective to Information Retrieval, and give examples from our work applying these techniques to enhance the design of Information Retrieval systems.
This event took place on Wednesday 09 September 2009 at 11:30
Traditionally, Information Retrieval has been concerned with matching some query against a collection of text documents, images, videos or sound files. Research in this field has mostly tried to improve how well retrieval happens. But, this approach has largely neglected the role the user plays during this process. By not taking into account the user and their interaction with the system, we fail to arrive at insights into real system use. In this talk, we present research methodologies that provide a user-centered perspective to Information Retrieval, and give examples from our work applying these techniques to enhance the design of Information Retrieval systems.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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