A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

M Alves Gomes, T Meisen - Information Systems and e-Business …, 2023 - Springer
The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …

[PDF][PDF] Machine learning based recommender system for e-commerce

M Loukili, F Messaoudi, M El Ghazi - IAES International Journal of …, 2023 - academia.edu
Nowadays, e-commerce is becoming an essential part of business for many reasons,
including the simplicity, availability, richness and diversity of products and services, flexibility …

Recommendation in offline stores: A gamification approach for learning the spatiotemporal representation of indoor shopping

J Shin, C Lee, C Lim, Y Shin, J Lim - Proceedings of the 28th ACM …, 2022 - dl.acm.org
With the current advancements in mobile and sensing technologies used to collect real-time
data in offline stores, retailers and wholesalers have attempted to develop recommender …

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training

S Liu, C Li, X Zhang, M Zhao, Y Xu, J Bu - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Learning item representation is crucial for a myriad of on-line e-commerce applications. The
nucleus of retail item representation learning is how to properly fuse the semantics within a …

A Comprehensive Study on Online and Offline Evaluation of Recommendation System

T Sachdeva, LM Goyal, M Mittal - International Conference on Paradigms …, 2023 - Springer
Recommendation systems (RSs) had surfaced as the backbone of E-Commerce
businesses, helping in improving their efficiency and to make them user-friendly. E …

Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi

A Zencirli, H Çetin, N Tuğ, E Seven… - International Journal of …, 2022 - dergipark.org.tr
Elektronik ticaret platformlarında birçok farklı ürün türü müşterilerin nerede olduklarından
bağımsız olarak satılabilmektedir. Bu platformlarda bulunan öneri sistemi kullanıcılar için ilgi …

Deep Learning Classification of Location Oriented Recommendation System for Low-Sale Products

A Zencirli, H Çetin, N Tuğ… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Bu çalışmada, derin öğrenme yaklaşımlarından kısıtlıBoltzmann makinesi (restricted
boltzmann machineRBM) ve öz kodlayıcı (autoencoder-AE), diğer makine öğrenmesi …

KİŞİSELLEŞTİRİLMİŞ ÜRÜN ÖNERİ SİSTEMİ İÇİN KULLANICI BAZLI İŞBİRLİKÇİ FİLTRELEME VE KÜMELEME KULLANAN HİBRİT BİR YAKLAŞIM

H Budak, E Gumustas - İstanbul Ticaret Üniversitesi Sosyal Bilimler …, 2022 - dergipark.org.tr
Günümüz rekabet koşulları firmaları, özellikle perakende ve e-ticaret firmalarını, müşterilerini
daha iyi tanımaya, onların tercihlerini ve davranışlarını anlamaya, ihtiyaçlarını tahmin …

Rekomendasi Produk Berbasis Collaborative Filtering Menggunakan Factorization Machine Graph Convolutional Networks

SR Anggraeni, D Purwitasari… - ILKOMNIKA …, 2023 - journal.unublitar.ac.id
Rekomendasi produk memiliki peran yang signifikan dalam berbagai industri, termasuk e-
commerce, ritel, perhotelan, dan keuangan. Rekomendasi dapat meningkatkan kepuasan …

Enhancing Product Recommendations and Sales Productivity with Advanced Deep Learning Models

Z Rezaei, N Farzaneh Kondori… - … and Hosseini, Sajjad …, 2017 - papers.ssrn.com
Recommender systems have revolutionized the way users discover products in online retail
services. In the past, users had to invest significant time searching through long product lists …