A Comparison of Retrieval Models using Term Dependencies
Author:
Affiliation:
1. University of Massachusetts Amherst, Amherst, MA, USA
Funder
Division of Computer and Network Systems
Center for Intelligent Information Retrieval
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2661829.2661894
Reference33 articles.
1. Probabilistic models of information retrieval based on measuring the divergence from randomness
2. Improvements that don't add up
3. Discovering key concepts in verbose queries
4. Modeling higher-order term dependencies in information retrieval using query hypergraphs
5. Two-stage query segmentation for information retrieval
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