نتایج جستجو برای: information needs
تعداد نتایج: 1342163 فیلتر نتایج به سال:
The relationship between information and communication technologies (ICTs) and poverty remains unclear. The result is likely to remain such if focus is not given to the understanding of needs of the poorer community whose problems ICT interventions are supposed to solve. The present study is an attempt in that direction and it does so by trying to understand the media habit of poor farmers in B...
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The paper presents a variant of our generative probabilistic multimedia retrieval model that is suitable for information needs expressed as multiple examples. Results have been evaluated on the TRECVID 2003 collection.
A historical and theoretical analysis of the copyright environment demonstrates that both the economic rights associated with copyright and the moral rights often associated with copyright perform social functions. The latter have not been as universally embraced or adopted as the former. The lack of enthusiasm for moral rights is argued to be because the social utility of this aspect of the co...
Generating summaries that meet the information needs of a user relies on (1) several forms of question decomposition; (2) different summarization approaches; and (3) textual inference for combining the summarization strategies. This novel framework for summarization has the advantage of producing highly responsive summaries, as indicated by the evaluation results. 2007 Elsevier Ltd. All rights ...
The increased scope and complexity of tasks that people perform as part of their routine work has led to growing interest in the development of intelligent personal assistive agents that can aid a human in managing and performing tasks. One desired capability for such agents is that they be able to act proactively to anticipate user needs, opportunities and problems, and then act on their own i...
The Contextual Suggestion Problem focuses on search techniques for complex information needs that are highly dependent on context and user interest. In this paper, we present our approach to providing user and context dependent suggestions. The official evaluation scores for our submitted run are reported and compared to the overall median scores (across all 34 runs).
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