Adaptive information retrieval - Issues & strategies for Evaluation
This event took place on Wednesday 31 October 2007 at 11:30
Dr. Joemon Jose Department of Computing Science, University of Glasgow
Despite the prodigious efforts expended on IR research over the past 30-40 years, and some remarkable breakthroughs, major issues in information seeking process remains unresolved. A major contributory factor is difficulty of formulating one's information need in a way that takes the user's context and task into account. Personalization and adaptation techniques are proposed to address many such difficulties, however, developments in this area are hampered by the difficulties in evaluating adaptive search systems. In my talk, I will describe our recent efforts to develop personalised and adaptive information retrieval techniques and how we have endeavoured to evaluate it.
This event took place on Wednesday 31 October 2007 at 11:30
Despite the prodigious efforts expended on IR research over the past 30-40 years, and some remarkable breakthroughs, major issues in information seeking process remains unresolved. A major contributory factor is difficulty of formulating one's information need in a way that takes the user's context and task into account. Personalization and adaptation techniques are proposed to address many such difficulties, however, developments in this area are hampered by the difficulties in evaluating adaptive search systems. In my talk, I will describe our recent efforts to develop personalised and adaptive information retrieval techniques and how we have endeavoured to evaluate it.
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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