What's Implicit in Space
This event took place on Tuesday 25 March 2008 at 11:30
Prof. Massimo Melucci Department of Information Engineering, University of Padua, Italy
The talk will introduce a geometric model and its investigation in the context of enhanced implicit feedback tailored for each task and personalized for each user. The geometric model leverages recent advances of vector space-based information retrieval. The results of some experiments using rich interaction logs demonstrate both the effectiveness of our proposed algorithm and the potential value of incorporating multiple sources of interaction evidence when developing implicit feedback algorithms.
This event took place on Tuesday 25 March 2008 at 11:30
The talk will introduce a geometric model and its investigation in the context of enhanced implicit feedback tailored for each task and personalized for each user. The geometric model leverages recent advances of vector space-based information retrieval. The results of some experiments using rich interaction logs demonstrate both the effectiveness of our proposed algorithm and the potential value of incorporating multiple sources of interaction evidence when developing implicit feedback algorithms.
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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