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Supriyo Mandal
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2020 – today
- 2022
- [j4]Supriyo Mandal
, Abyayananda Maiti:
Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector. Electron. Mark. 32(3): 1327-1349 (2022) - [j3]Supriyo Mandal
, Abyayananda Maiti:
Rating Prediction With Review Network Feedback: A New Direction in Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 740-750 (2022) - [c4]Supriyo Mandal, Abyayananda Maiti:
Heterogeneous Trust-based Social Recommendation via Reliable and Informative Motif-based Attention. IJCNN 2022: 1-8 - [i3]Supriyo Mandal, Abyayananda Maiti:
FusionDeepMF: A Dual Embedding based Deep Fusion Model for Recommendation. CoRR abs/2210.05338 (2022) - 2021
- [j2]Supriyo Mandal
, Abyayananda Maiti:
Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation. Appl. Intell. 51(11): 7855-7880 (2021) - [c3]Supriyo Mandal
, Abyayananda Maiti:
Graph Neural Networks for Heterogeneous Trust based Social Recommendation. IJCNN 2021: 1-8 - 2020
- [j1]Supriyo Mandal
, Abyayananda Maiti:
Explicit feedback meet with implicit feedback in GPMF: a generalized probabilistic matrix factorization model for recommendation. Appl. Intell. 50(6): 1955-1978 (2020)
2010 – 2019
- 2018
- [c2]Supriyo Mandal
, Abyayananda Maiti:
Explicit Feedbacks Meet with Implicit Feedbacks: A Combined Approach for Recommendation System. COMPLEX NETWORKS (2) 2018: 169-181 - [i2]Supriyo Mandal
, Abyayananda Maiti:
Social Promoter Score (SPS) and Review Network: A Method and a Tool for Predicting Financial Health of an Online Shopping Brand. CoRR abs/1804.04464 (2018) - [i1]Supriyo Mandal, Abyayananda Maiti:
Explicit Feedbacks Meet with Implicit Feedbacks : A Combined Approach for Recommendation System. CoRR abs/1810.12770 (2018) - 2015
- [c1]Surajit Kumar Roy, Supriyo Mandal
, Chandan Giri
, Hafizur Rahaman:
A thermal estimation model for 3D IC using liquid cooled microchannels and thermal TSVs. VLSI-SoC 2015: 122-127
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