Loading…
A Feature-Centric View of Information Retrieval
Commercial Web search engines such as Google, Yahoo, and Bing are used every day by millions of people across the globe. With their ever-growing refinement and usage, it has become increasingly difficult for academic researchers to keep up with the collection sizes and other critical research issues...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
|
| Edition: | 1st ed. 2011. |
| Series: | The Information Retrieval Series,
27 |
| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- Introduction
- Classical Retrieval Models
- Feature-Based Ranking
- Feature-Based Query Expanion
- Query-Dependent Feature Weighting
- Model Learning.