Nipa Chowdhury

According to our database, Nipa Chowdhury authored at least 8 papers between 2013 and 2016.

Collaborative distances:

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

2016

Collaborative learning for recommender systems by boosting and non-parametric methods.

Nipa Chowdhury

PhD thesis, 2016

Nonparametric Bayesian Probabilistic Latent Factor Model for Group Recommender Systems.

Nipa Chowdhury, Xiongcai Cai

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015

BoostMF: Boosted Matrix Factorisation for Collaborative Ranking.

Nipa Chowdhury, Xiongcai Cai, Cheng Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Probabilistic temporal bilinear model for temporal dynamic recommender systems.

Cheng Luo, Xiongcai Cai, Nipa Chowdhury

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Towards Solving the Cold Start Transition Problem in Dynamic Recommender Systems.

Cheng Luo, Xiongcai Cai, Nipa Chowdhury

Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

Learning Factor Selection for Boosted Matrix Factorisation in Recommender Systems.

Nipa Chowdhury, Xiongcai Cai, Cheng Luo

Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

2014

Self-training Temporal Dynamic Collaborative Filtering.

Cheng Luo, Xiongcai Cai, Nipa Chowdhury

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

GWMF: Gradient Weighted Matrix Factorisation for Recommender Systems.

Nipa Chowdhury, Xiongcai Cai

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013