The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Context-orientated news riltering for web 2.0 and beyond
Proceedings of the 15th international conference on World Wide Web
Information Processing and Management: an International Journal
Evaluating query-independent object features for relevancy prediction
ECIR'07 Proceedings of the 29th European conference on IR research
Information Processing and Management: an International Journal
Computational Intelligence
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There is a growing realisation that relevant information will be accessible increasingly across media and genres, across languages and across modalities. The retrieval of such information will depend on time, place, history of interaction, task in hand, and a range of other factors that are not given explicitly but are implicit in the interaction and ambient environment, namely the context. IR research is now conducted in multimedia, multi-lingual, and multi-modal environments but largely out of context (Jarvelin & Ingwersen, 2004; Ingwersen & Jarvelin, forthcoming). However, such contextual data can be used effectively to constrain retrieval of information thereby reducing the complexity of the retrieval process. To achieve this, context models for different modalities will need to be developed so that they can be deployed effectively to enhance retrieval performance. Thus truly context-aware and -dependent retrieval will become feasible.