Embedding-based Query Expansion for Weighted Sequential Dependence Retrieval Model
Author:
Affiliation:
1. Wayne State University, Detroit, MI, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3077136.3080764
Reference21 articles.
1. Saeid Balaneshin-kordan and Alexander Kotov 2016natexlabc. A study of document expansion using translation models and dimensionality reduction methods Proceedings of ACM ICTIR. 233--236. Saeid Balaneshin-kordan and Alexander Kotov 2016natexlabc. A study of document expansion using translation models and dimensionality reduction methods Proceedings of ACM ICTIR. 233--236.
2. Saeid Balaneshinkordan and Alexander Kotov 2016. An Empirical comparison of term association and knowledge graphs for query expansion Proceedings of ECIR. 761--767. Saeid Balaneshinkordan and Alexander Kotov 2016. An Empirical comparison of term association and knowledge graphs for query expansion Proceedings of ECIR. 761--767.
3. Michael Bendersky Donald Metzler and W Bruce Croft. 2010. Learning concept importance using a weighted dependence model Proceedings of ACM WSDM. 31--40. Michael Bendersky Donald Metzler and W Bruce Croft. 2010. Learning concept importance using a weighted dependence model Proceedings of ACM WSDM. 31--40.
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