A modern information retrieval system must have the capability to find, organize and present very different manifestations of information – such as text, pictures, videos or database records – any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko doesnot attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or morecomplete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. INDICE: 1) Introduction - 2) Relevance - 3) A Generative View of Relevance- 4) Generative Density Allocation - 5) Retrieval Scenarios - 6) Conclusion.
- ISBN: 978-3-540-89363-9
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 197
- Fecha Publicación: 01/01/2009
- Nº Volúmenes: 1
- Idioma: Inglés