Armel Jacques Nzekon Nzeko'o

Orcid: 0000-0003-2163-4769

According to our database1, Armel Jacques Nzekon Nzeko'o authored at least 12 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dynamic bipartite graph analysis for the systematic estimation of temporal dynamics parameters for graph-based recommender systems.
Int. J. Data Sci. Anal., December, 2026

2025
A general graph learning based framework for job offer recommender system.
Eng. Appl. Artif. Intell., 2025

Clustering-based Graph Numbering using Execution Traces for Cache Misses Reduction in Graph Analysis Applications.
ARIMA J., 2025

Towards Agile and Transparent Data Management: New Generative AI-Driven Tools for Data Governance.
Proceedings of the 2025 International Conference on Information Technology for Social Good, 2025

2023
Time and content aware implicit social influence estimation to enhancetrust-based recommender systems.
ARIMA J., 2023

Parallelization of Recurrent Neural Network training algorithm with implicit aggregation on multi-core architectures.
ARIMA J., 2023

2022
Système de recommandation avec prise en compte de la prévision de disponibilité des catégories de produits.
ARIMA J., 2022

2019
Système de recommandation avec dynamique temporelle basée sur les flots de liens. (Recommender system with temporal dynamics based on link streams).
PhD thesis, 2019

A general graph-based framework for top-N recommendation using content, temporal and trust information.
CoRR, 2019

Link Stream Graph for Temporal Recommendations.
CoRR, 2019

2017
Temporal Recommendation, Long- and Short-term Preferences, Session-based Temporal Graph, Time Weight Content-based Graph, Time-averaged Hit Ratio, PageRank, Injected Preference Fusion..
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017

2015
Social Network Analysis of Developers' and Users' Mailing Lists of Some Free Open Source Software.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015


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