Incorporating Accuracy and Diversity in a News Recommender System-Reference-Cited by-同舟云学术

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Incorporating Accuracy and Diversity in a News Recommender System

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
language:
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Author:

Raza Shaina¹,Bashir Syed Raza²,Naseem Usman³,Liu Dora D.⁴,Reji Deepak John⁵

Affiliation:

1. University of Toronto,Computer Science,Toronto,Canada

2. Toronto Metroplitan University,Computer Science,Toronto,Canada

3. The University of Sydney,School of Computer Science,Sydney,Australia

4. DeepBlue Academy of Sciences,China

5. Environmental Resources Management,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032305/10032324/10032442.pdf?arnumber=10032442

Reference45 articles.

1. A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System

2. Adam: A method for stochastic optimization;kingma;3rd International Conference on Learning Representations ICLR 2015 - Conference Track Proceedings,2015

3. Personalised ranking with diversity

4. Learning to Recommend Accurate and Diverse Items

5. Learning cross-lingual sentence representations via a multi-task dual-encoder model;chidambaram,2018

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1. Improving Clinical Decision Making with a Two-Stage Recommender System: A Case Study on MIMIC-III Dataset;2023-02-24

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