Nima Joorabloo

According to our database, Nima Joorabloo authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence.

Nima Joorabloo, Mahdi Jalili, Yongli Ren

Inf. Sci., 2022

Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach.

Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Milad Ahmadian

Expert Syst. Appl., 2022

2021

A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems.

Nima Joorabloo, Mahdi Jalili, Yongli Ren

Expert Syst. Appl., 2021

2020

A social recommender system based on reliable implicit relationships.

Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi

Knowl. Based Syst., 2020

Improved Collaborative Filtering Recommendation Through Similarity Prediction.

Nima Joorabloo, Mahdi Jalili, Yongli Ren

IEEE Access, 2020

2019

A New Temporal Recommendation System based on Users' Similarity Prediction.

Nima Joorabloo, Mahdi Jalili, Yongli Ren

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Probabilistic Graph-Based Method to Improve Recommender System Accuracy.

Nima Joorabloo, Mahdi Jalili, Yongli Ren

Proceedings of the Engineering Applications of Neural Networks, 2019

2018

Australia's long-term electricity demand forecasting using deep neural networks.

Homayoun Hamedmoghadam, Nima Joorabloo, Mahdi Jalili

CoRR, 2018

A Temporal Clustering Approach for Social Recommender Systems.

Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018