Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic

Author:

Ariannezhad Mozhdeh1,Montazeralghaem Ali1,Zamani Hamed2,Shakery Azadeh1

Affiliation:

1. University of Tehran, Tehran, Iran

2. University of Massachusetts Amherst, Amherst, USA

Publisher

ACM

Reference12 articles.

1. Discovering key concepts in verbose queries

2. Adapting pivoted document-length normalization for query size

3. Ronan Cummins. 2016. A Study of Retrieval Models for Long Documents and Queries in Information Retrieval WWW'16. Montreal Quebec Canada 795--805. Ronan Cummins. 2016. A Study of Retrieval Models for Long Documents and Queries in Information Retrieval WWW'16. Montreal Quebec Canada 795--805.

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