In this article a new probabilistic information retrieval (IR) model, based on Bayesian networks (BNs), is proposed. We first consider a basic model, which represents only direct relationships between the documents in the collection and the terms or keywords used to index them. Next, we study two ve
Introducing an active cluster-based information retrieval paradigm
✍ Scribed by Oscar Loureiro; Hava Siegelmann
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 112 KB
- Volume
- 56
- Category
- Article
- ISSN
- 1532-2882
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
When a client interacts with an expert, e.g., a doctor, it falls upon the expert to ask questions that steer the process towards fulfilling the client's needs. This is most efficient given that the expert has more knowledge and a broader view of possible illnesses and treatments. On the other hand, when faced with an information retrieval (IR) task, most IR systems leave to the client the task of coming up with queries. We propose an information retrieval framework that assumes the responsibility of leading the users to the information, thus increasing efficiency and satisfaction.
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