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Nima Joorabloo
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Journal Articles
- 2022
- [j5]Sajad Ahmadian
, Nima Joorabloo, Mahdi Jalili
, Milad Ahmadian:
Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach. Expert Syst. Appl. 187: 115849 (2022) - [j4]Nima Joorabloo, Mahdi Jalili
, Yongli Ren:
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. Inf. Sci. 601: 242-254 (2022) - 2021
- [j3]Nima Joorabloo, Mahdi Jalili
, Yongli Ren
:
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. Expert Syst. Appl. 184: 115485 (2021) - 2020
- [j2]Nima Joorabloo
, Mahdi Jalili
, Yongli Ren
:
Improved Collaborative Filtering Recommendation Through Similarity Prediction. IEEE Access 8: 202122-202132 (2020) - [j1]Sajad Ahmadian
, Nima Joorabloo, Mahdi Jalili
, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi:
A social recommender system based on reliable implicit relationships. Knowl. Based Syst. 192: 105371 (2020)
Conference and Workshop Papers
- 2019
- [c3]Nima Joorabloo
, Mahdi Jalili
, Yongli Ren
:
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. EANN 2019: 151-163 - [c2]Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A New Temporal Recommendation System based on Users' Similarity Prediction. KDIR 2019: 555-560 - 2018
- [c1]Sajad Ahmadian
, Nima Joorabloo, Mahdi Jalili
, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren
:
A Temporal Clustering Approach for Social Recommender Systems. ASONAM 2018: 1139-1144
Informal and Other Publications
- 2018
- [i1]Homayoun Hamedmoghadam, Nima Joorabloo, Mahdi Jalili:
Australia's long-term electricity demand forecasting using deep neural networks. CoRR abs/1801.02148 (2018)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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