TY  - JOUR
T1  - Daily Product Purchase Predictions with E-commerce Recommendations Using a Continual Learning Neural Network System
TT  - Daily Product Sales-Orders E-commerce Recommendations and Prediction Using a Continual Learning Neural Machine Learning System
AU  - Osegi, Emmanuel Ndidi
AU  - Igbudu, Kingsley Ezebunwo
AU  - Okwu, Hachikaru Ngozi
PY  - 2025
DA  - December
Y2  - 2025
DO  - 10.53070/bbd.1673090
JF  - Computer Science
JO  - JCS
PB  - Ali KARCI
WT  - DergiPark
SN  - 2548-1304
SP  - 144
EP  - 152
VL  - 10
IS  - 2
LA  - en
AB  - In this research paper, we propose an intelligent recommender system suitable for E-commerce transactions. The system employs an emerging ANN method called the Hierarchical Temporal Memory (HTM) for continuous predictive recommendation. The results considering open source data obtained from an online store were reported considering the adjustments of HTM columns parameter. The findings of the result indicate that higher columns will lead to enhanced performance with > 95% classification accuracy obtained at a set column size of 1000units. The proposed HTM-ANN is expected to be a promising alternative to existing feed-forward ANNs for real-time E-commerce applications.
KW  - ANN
KW  - E-commerce
KW  - Continual Learning
KW  - Prediction
KW  - Recommender System
N2  - In this research paper, we propose an intelligent recommender system suitable for E-commerce transactions. The system employs an emerging ANN method called the Hierarchical Temporal Memory (HTM) for continuous predictive recommendation. The results considering open source data obtained from an online store were reported considering the adjustments of HTM columns parameter. The findings of the result indicate that higher columns will lead to enhanced performance with > 95% classification accuracy obtained at a set column size of 1000units. The proposed HTM-ANN is expected to be a promising alternative to existing feed-forward ANNs for real-time E-commerce applications.
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UR  - https://doi.org/10.53070/bbd.1673090
L1  - https://dergipark.org.tr/en/download/article-file/4759570
ER  -