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ORCIDLe Nguyen Hoai Nam
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2020 – today
- 2024
[j8]Ho Thi Hoang Vy, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
Integrating textual reviews into neighbor-based recommender systems. Expert Syst. Appl. 249: 123648 (2024)- [c18]Pham Thi Xuan Hien, Le Nguyen Hoai Nam, Cuong Pham-Nguyen:
Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs. KEOD 2024: 15-26 - [c17]Hong Tiet Gia
, Ho Thi Hoang Vy, Do Thi Thanh Ha, Vu Thi My Hang, Ho Le Thi Kim Nhung, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
Addressing Initialization and Data Ordering Issues in Latent Factor-Based Recommendation Systems. ICCCI (CCIS Volume 2) 2024: 364-377 - 2023
- [c16]Ho Thi Hoang Vy, Hong Tiet Gia, Vu Thi My Hang, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems. DATA 2023: 532-539 - [c15]Le Nguyen Hoai Nam:
A Robust Approach for Hybrid Personalized Recommender Systems. TPDL 2023: 160-172 - [c14]Le Nguyen Hoai Nam:
Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems. KDIR 2023: 306-314 - [c13]Ho Thi Hoang Vy, Do Thi Thanh Ha, Hong Tiet Gia, Vu Thi My Hang, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-Based Recommender Systems. ICCCI (CCIS Volume) 2023: 17-29 - 2022
- [j7]Le Nguyen Hoai Nam:
Profile Aggregation-Based Group Recommender Systems: Moving From Item Preference Profiles to Deep Profiles. IEEE Access 10: 6218-6245 (2022) - [j6]Le Nguyen Hoai Nam:
Incorporating textual reviews in the learning of latent factors for recommender systems. Electron. Commer. Res. Appl. 52: 101133 (2022) - [j5]Le Nguyen Hoai Nam:
Towards comprehensive approaches for the rating prediction phase in memory-based collaborative filtering recommender systems. Inf. Sci. 589: 878-910 (2022) - [j4]Thang Le Dinh, Thanh Thoa Pham Thi, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
A knowledge-based model for context-aware smart service systems. J. Inf. Telecommun. 6(2): 141-162 (2022) - [c12]Duy Cuong Nguyen, Nguyen Hanh Dung Dinh, Cuong Pham-Nguyen, Thang Le Dinh, Le Nguyen Hoai Nam:
ITCareerBot: A Personalized Career Counselling Chatbot. ACIIDS (Companion) 2022: 423-436 - 2021
- [j3]Le Nguyen Hoai Nam:
Latent factor recommendation models for integrating explicit and implicit preferences in a multi-step decision-making process. Expert Syst. Appl. 174: 114772 (2021) - [j2]Le Nguyen Hoai Nam:
Towards comprehensive profile aggregation methods for group recommendation based on the latent factor model. Expert Syst. Appl. 185: 115585 (2021) - [c11]Bui Nguyen Minh Hoang, Ho Thi Hoang Vy, Hong Tiet Gia, Vu Thi My Hang, Ho Le Thi Kim Nhung, Le Nguyen Hoai Nam:
Using Bert Embedding to improve memory-based collaborative filtering recommender systems. RIVF 2021: 1-6 - 2020
- [c10]Thang Le Dinh, Thanh Thoa Pham Thi, Cuong Pham-Nguyen, Le Nguyen Hoai Nam:
Towards a Context-Aware Knowledge Model for Smart Service Systems. ICCCI 2020: 767-778 - [c9]Luong Tran Hien, Ly Tran Thi Ly, Pham-Nguyen Cuong, Thang Le Dinh, Hong Tiet Gia, Le Nguyen Hoai Nam:
Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach. RIVF 2020: 1-3
2010 – 2019
- 2019
- [c8]Le Nguyen Hoai Nam, Ho Thi Hoang Vy, Le Hoang My, Le Thi Tuyet Mai, Hong Tiet Gia, Ho Le Thi Kim Nhung:
An approach to improving group recommendation systems based on latent factor matrices. SoICT 2019: 98-105 - 2018
- [c7]Ho Thao Hien, Pham-Nguyen Cuong, Le Nguyen Hoai Nam, Ho Le Thi Kim Nhung, Thang Le Dinh:
Intelligent Assistants in Higher-Education Environments: The FIT-EBot, a Chatbot for Administrative and Learning Support. SoICT 2018: 69-76 - 2017
- [j1]Le Nguyen Hoai Nam, Ho Bao Quoc:
The Hybrid Filter Feature Selection Methods for Improving High-Dimensional Text Categorization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(2): 235-266 (2017) - [c6]Le Nguyen Hoai Nam, Ho Bao Quoc:
The Clustering-Based Initialization for Non-negative Matrix Factorization in the Feature Transformation of the High-Dimensional Text Categorization System: A Viewpoint of Term Vectors. TPDL 2017: 511-522 - [c5]Le Nguyen Hoai Nam, Ho Bao Quoc:
Integrating Low-rank Approximation and Word Embedding for Feature Transformation in the High-dimensional Text Classification. KES 2017: 437-446 - 2016
- [c4]Le Nguyen Hoai Nam, Ho Bao Quoc:
The Ranking Methods in the filter Feature Selection Process for Text Categorization System. PACIS 2016: 159 - 2015
- [c3]Le Nguyen Hoai Nam, Ho Bao Quoc:
A Combined Approach for Filter Feature Selection in Document Classification. ICTAI 2015: 317-324 - [c2]Le Nguyen Hoai Nam, Bao Quoc Ho:
A Comprehensive Filter Feature Selection for Improving Document Classification. PACLIC 2015 - 2014
- [c1]Mai Nhat Vinh, Nguyen Nhat Duy, Ho Thi Hoang Vy, Le Nguyen Hoai Nam:
An Approach for Integrating Multidimensional Database into Context-Aware Recommender System. CISIM 2014: 231-242
Coauthor Index
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