Copertina

RE-RFME: Real-Estate RFME Model for customer segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pandey, Anurag Kumar, Goyal, Anil, Sikka, Nikhil
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain
di: C, Venkatesh, et al.
Pubblicazione: (2024)

RE-GrievanceAssist: Enhancing Customer Experience through ML-Powered Complaint Management
di: C, Venkatesh, et al.
Pubblicazione: (2024)

Utilizing Large Language Models for Information Extraction from Real Estate Transactions
di: Zhao, Yu, et al.
Pubblicazione: (2024)

Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
di: Mukherjee, Kunal, et al.
Pubblicazione: (2025)

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

Domain-Adaptive and Scalable Dense Retrieval for Content-Based Recommendation
di: Pandey, Mritunjay
Pubblicazione: (2026)

Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
di: Bukke, Roopa, et al.
Pubblicazione: (2025)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
di: Dong, Yue, et al.
Pubblicazione: (2025)

Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction
di: Gui, Xian-Jin
Pubblicazione: (2025)

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

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
di: Zhou, Yiyun, et al.
Pubblicazione: (2025)

Scalable In-context Ranking with Generative Models
di: Gupta, Nilesh, et al.
Pubblicazione: (2025)

A Social Data-Driven System for Identifying Estate-related Events and Topics
di: Mu, Wenchuan, et al.
Pubblicazione: (2025)

Confounding is a Pervasive Problem in Real World Recommender Systems
di: Merkov, Alexander, et al.
Pubblicazione: (2025)

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

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

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG
di: Alonso, Nicholas, et al.
Pubblicazione: (2024)

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
di: He, Ruining, et al.
Pubblicazione: (2025)

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
di: Singh, Anima, et al.
Pubblicazione: (2023)

Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
di: Deznabi, Iman, et al.
Pubblicazione: (2025)

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
di: Chaturvedi, Sarthak, et al.
Pubblicazione: (2025)

Masked Diffusion for Generative Recommendation
di: Shah, Kulin, et al.
Pubblicazione: (2025)

Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
di: Sun, Zexu, et al.
Pubblicazione: (2025)

STAR: A Simple Training-free Approach for Recommendations using Large Language Models
di: Lee, Dong-Ho, et al.
Pubblicazione: (2024)

A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem
di: S, Nikhil N, et al.
Pubblicazione: (2025)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
di: Shao, Junli, et al.
Pubblicazione: (2025)

DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
di: Gurjar, Omkar, et al.
Pubblicazione: (2025)

Segment Discovery: Enhancing E-commerce Targeting
di: Li, Qiqi, et al.
Pubblicazione: (2024)

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
di: Kumar, Ramnath, et al.
Pubblicazione: (2023)

AgriLens: Semantic Retrieval in Agricultural Texts Using Topic Modeling and Language Models
di: Shakeel, Heba, et al.
Pubblicazione: (2026)

Compressing Search with Language Models
di: Mulc, Thomas, et al.
Pubblicazione: (2024)

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms
di: Zhao, Yushang, et al.
Pubblicazione: (2025)

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
di: Zhao, Xiangyu, et al.
Pubblicazione: (2024)

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

Debiased Model-based Interactive Recommendation
di: Li, Zijian, et al.
Pubblicazione: (2024)

Data Efficiency for Large Recommendation Models
di: Jain, Kshitij, et al.
Pubblicazione: (2024)

Neural Click Models for Recommender Systems
di: Shirokikh, Mikhail, et al.
Pubblicazione: (2024)

Towards Graph Foundation Models for Personalization
di: Damianou, Andreas, et al.
Pubblicazione: (2024)

Improving Neural Topic Models with Wasserstein Knowledge Distillation
di: Adhya, Suman, et al.
Pubblicazione: (2023)

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
di: Miao, Brenda Y., et al.
Pubblicazione: (2024)