From Search to Discovery
This event took place on Wednesday 01 June 2011 at 11:30
Tony Russell-Rose Endeca
The landscape of the search industry is undergoing fundamental change. In particular, there is a growing realisation that the true value of search is best realised by embedding it a wider discovery context, so that in addition to facilitating basic lookup tasks such as known-item search and fact retrieval, support is also provided for more complex exploratory tasks such as comparison, aggregation, analysis, synthesis, evaluation, and so on. Clearly, for these sorts of activity a much richer kind of interaction or dialogue between system and end user is required. This talk examines what forms this interactivity might take and discusses a number of principles and approaches for designing effective search and discovery experiences.
This event took place on Wednesday 01 June 2011 at 11:30
The landscape of the search industry is undergoing fundamental change. In particular, there is a growing realisation that the true value of search is best realised by embedding it a wider discovery context, so that in addition to facilitating basic lookup tasks such as known-item search and fact retrieval, support is also provided for more complex exploratory tasks such as comparison, aggregation, analysis, synthesis, evaluation, and so on. Clearly, for these sorts of activity a much richer kind of interaction or dialogue between system and end user is required. This talk examines what forms this interactivity might take and discusses a number of principles and approaches for designing effective search and discovery experiences.
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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