Applying Maximum Entropy to Known-Item Email Retrieval
- 26 March 2008
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Simple BM25 extension to multiple weighted fieldsPublished by Association for Computing Machinery (ACM) ,2004
- Discriminative models for information retrievalPublished by Association for Computing Machinery (ACM) ,2004
- Combining document representations for known-item searchPublished by Association for Computing Machinery (ACM) ,2003
- Term Proximity Scoring for Keyword-Based Retrieval SystemsPublished by Springer Nature ,2003
- The maximum entropy approach and probabilistic IR modelsACM Transactions on Information Systems, 2000
- Exploring the similarity spaceACM SIGIR Forum, 1998
- Testing the maximum entropy principle for information retrievalJournal of the American Society for Information Science, 1998
- The maximum entropy principle in information retrievalPublished by Association for Computing Machinery (ACM) ,1986
- Exploiting the maximum entropy principle to increase retrieval effectivenessJournal of the American Society for Information Science, 1983
- Updating Quasi-Newton Matrices with Limited StorageMathematics of Computation, 1980