Conference proceeding
Discretization based learning approach to information retrieval
Proceedings of the 14th ACM international conference on information and knowledge management, pp.321-322
CIKM '05
10/31/2005
DOI: 10.1145/1099554.1099647
Abstract
We have designed a representation scheme, which is based on the discrete representation of a document ranking function, which is capable of reproducing and enhancing the properties of such popular ranking functions as tf.idf, BM25 or those based on language models. Our tests have demonstrated the capability of our approach to achieve the performance of the best known scoring functions solely through training, without using any known heuristic or analytic formulas.
Details
- Title: Subtitle
- Discretization based learning approach to information retrieval
- Creators
- Dmitri Roussinov - Arizona State UniversityWeiguo Fan - Virginia TechFernando Das Neves
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 14th ACM international conference on information and knowledge management, pp.321-322
- Publisher
- ACM
- Series
- CIKM '05
- DOI
- 10.1145/1099554.1099647
- Language
- English
- Date published
- 10/31/2005
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380421002771
Metrics
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