Probabilistic Document Indexing from Relevance Feedback Data

@inproceedings{Fuhr1989ProbabilisticDI,
  title={Probabilistic Document Indexing from Relevance Feedback Data},
  author={Norbert Fuhr and Chris Buckley},
  booktitle={SIGIR},
  year={1989}
}
Based on the binary independence indexing model, we apply three new concepts for probabilistic document indexing from relevance feedback data:Abstraction from specific terms and documents, which overcomes the restriction of limited relevance information for parameter estimation. Flexibility of the representation, which allows the integration of new text analysis and knowledge-based methods in our approach as well as the consideration of more complex document structures or different types of… CONTINUE READING
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