Cover Image

Segment Discovery: Enhancing E-commerce Targeting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Qiqi, Singh, Roopali, Polpanumas, Charin, Fiez, Tanner, Kumar, Namita, Chakrabarti, Shreya
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024)

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
by: Shang, Hongwei, et al.
Published: (2025)

Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
by: Wang, Menghan, et al.
Published: (2024)

Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search
by: Lahiri, Pratik, et al.
Published: (2026)

Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
by: Xi, Jiaqi, et al.
Published: (2026)

Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking
by: Yu, Liren, et al.
Published: (2026)

Price-guided user attention in large-scale E-commerce group recommendation
by: Shi, Yang, et al.
Published: (2024)

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
by: Wang, Xiaochen, et al.
Published: (2023)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)

Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the Buyer
by: Sheng, Taoran, et al.
Published: (2025)

Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
by: Li, Linyue, et al.
Published: (2024)

Smart E-commerce Recommendations with Semantic AI
by: Badouch, M., et al.
Published: (2024)

Recommendation systems in e-commerce applications with machine learning methods
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)

Transfer Learning for E-commerce Query Product Type Prediction
by: Tigunova, Anna, et al.
Published: (2024)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
by: Chopra, Harshita, et al.
Published: (2024)

Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)

Graph Regularized Encoder Training for Extreme Classification
by: Mittal, Anshul, et al.
Published: (2024)

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
by: Zhang, Wei, et al.
Published: (2024)

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
by: Xu, Enqiang, et al.
Published: (2024)

ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
by: Chang, Daryl, et al.
Published: (2025)

Enhancing Online Support Group Formation Using Topic Modeling Techniques
by: Barman, Pronob Kumar, et al.
Published: (2026)

ProReco: A Process Discovery Recommender System
by: Huang, Tsung-Hao, et al.
Published: (2025)

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform
by: Chen, Xiangyi, et al.
Published: (2025)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)

Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
by: Peng, Pipi, et al.
Published: (2024)

Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models
by: Yada, Yuki, et al.
Published: (2025)

Building a privacy-preserving Federated Recommender system for mobile devices
by: Singh, Aasheesh
Published: (2026)

Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify
by: D'Amico, Edoardo, et al.
Published: (2026)

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026)

Semantic Retrieval for Product Search in E-Commerce
by: Kothari, Nikhil, et al.
Published: (2026)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
by: Liu, Wenyi, et al.
Published: (2024)

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations
by: Müllner, Peter, et al.
Published: (2026)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
by: Sachdev, Jayant, et al.
Published: (2025)

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval
by: Banerjee, Puspendu, et al.
Published: (2025)

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction
by: Tan, Xiaoyu, et al.
Published: (2024)

A semantic-based deep learning approach for mathematical expression retrieval
by: Perepu, Pavan Kumar
Published: (2025)

Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure
by: Acosta, María Florencia, et al.
Published: (2026)

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
by: Malviya, Yash, et al.
Published: (2024)

EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

Enhancing Prediction Models with Reinforcement Learning
by: Radziszewski, Karol, et al.
Published: (2024)