A retrieval model family based on the probability ranking principle for ad hoc retrieval-Reference-Cited by-同舟云学术

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A retrieval model family based on the probability ranking principle for ad hoc retrieval

Published:2022-02-05 Issue:8 Volume:73 Page:1140-1154
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Asso for Info Science & Tech

Author:

Dang Edward Kai Fung¹^ORCID,Luk Robert Wing Pong¹,Allan James²

Affiliation:

1. Department of Computing The Hong Kong Polytechnic University Hung Hom Hong Kong

2. College of Information and Computer Sciences University of Massachusetts Amherst Massachusetts USA

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24619

Reference50 articles.

1. Probabilistic models of information retrieval based on measuring the divergence from randomness

2. Azzopardi L. &Roelleke T.(2007).Explicitly considering relevance within the language modeling framework.Proceedings of the 1st International Conference on Theory of Information Retrieval 125–134.

3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

4. Multiple testing in statistical analysis of systems-based information retrieval experiments

5. Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval

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