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1

LightGBM using Enhanced and De-biased Item Representation for Better Session-based Fashion Recommender Systems
Luo, Jiangwei ; Zhao, Wenxuan ; Tang, Ye ; et al.
Proceedings of the Recommender Systems Challenge 2022. :24-28

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2

Explaining Session-based Recommendations using Grammatical Evolution
Lipinski, Piotr ; Balcer, Klaudia
Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1590-1597

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3

News Session-Based Recommendations using Deep Neural Networks
de Souza Pereira Moreira, Gabriel ; Ferreira, Felipe ; da Cunha, Adilson Marques
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems. :15-23

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4

Session-Based Recommendations Using Item Embedding
Greenstein-Messica, Asnat ; Rokach, Lior ; Friedman, Michael
Proceedings of the 22nd International Conference on Intelligent User Interfaces. :629-633

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5

CHAMELEON : a deep learning meta-architecture for news recommender systems
de Souza Pereira Moreira, Gabriel
Proceedings of the 12th ACM Conference on Recommender Systems. :578-583

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6

Session-based Recommendation with Transformers
Lu, Yichao ; Gao, Zhaolin ; Cheng, Zhaoyue ; et al.
Proceedings of the Recommender Systems Challenge 2022. :29-33

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7

A Novel session-based recommendation system using capsule graph neural network
El Alaoui, Driss ; Riffi, Jamal ; Sabri, Abdelouahed ; et al.
In Neural Networks May 2025 185

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8

End-to-End Session-Based Recommendation on GPU
de Souza Pereira Moreira, Gabriel ; Rabhi, Sara ; Ak, Ronay ; et al.
Proceedings of the 15th ACM Conference on Recommender Systems. :831-833

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9

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10

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
Hidasi, Balázs ; Quadrana, Massimo ; Karatzoglou, Alexandros ; et al.
Proceedings of the 10th ACM Conference on Recommender Systems. :241-248

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11

Neural Networks in Recommender Systems with an Optimization to the Neural Attentive Recommender Model
C, Suraj K ; R, Shyam
2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Mobile Networks and Wireless Communications (ICMNWC), 2021 IEEE International Conference on. :1-5 Dec, 2021

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12

SessNet: A Deep Hybrid-state Session-based Recommender System
McDonnell, Serena ; Nada, Omar ; Prayogo, Nicholas ; et al.
2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2022 IEEE 13th Annual. :0343-0352 Oct, 2022

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13

Deep Learning-Based Course Recommendations Using Sentence Embeddings and User Information for Learning Platforms
Lin, T. ; Natsupakpong, S. ; Khanarsa, P.
2024 28th International Computer Science and Engineering Conference (ICSEC) Computer Science and Engineering Conference (ICSEC), 2024 28th International. :1-6 Nov, 2024

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14

Predicting Online Shopper Purchasing Intentions: ML and DL Approach
Roy, Shaurya ; Ramanaiah, Preethi Kolluru
2025 International Conference on Electrical, Electronics, and Computer Science with Advance Power Technologies - A Future Trends (ICE2CPT) Electrical, Electronics, and Computer Science with Advance Power Technologies - A Future Trends (ICE2CPT), 2025 International Conference on. :1-6 Oct, 2025

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15

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16

Hybrid time centric recommendation model for e-commerce applications using behavioral traits of user.
Sreenivasa, B. R. ; Nirmala, C. R.
Information Technology & Management. Jun2023, Vol. 24 Issue 2, p133-146. 14p.

Recommender systems Electronic commerce Online shopping Consumer behavior Prediction models
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17

Data Analysis and Mining
Ougiaroglou, Stefanos ; Margaris, Dionisis

chi-square test constrained likelihood r... Fisher test gamma distribution uniformly most powerful... key interested frame …
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18

Tutorial: Feature Engineering for Recommender Systems
Schifferer, Benedikt ; Deotte, Chris ; Oldridge, Even
Proceedings of the 14th ACM Conference on Recommender Systems. :754-755

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19

Session-Based Recommender Systems Using Deep Learning
Ravanmehr, Reza ; Mohamadrezaei, Rezvan
ISBN 9783031425585 9783031425592.

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20

Inter-Session Modeling for Session-Based Recommendation
Ruocco, Massimiliano ; Skrede, Ole Steinar Lillestøl ; Langseth, Helge
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems. :24-31

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