Cover Image

RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	C, Venkatesh, Oberoi, Harshit, Goyal, Anil, Sikka, Nikhil
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RE-RFME: Real-Estate RFME Model for customer segmentation
by: Pandey, Anurag Kumar, et al.
Published: (2024)

From Variability to Stability: Advancing RecSys Benchmarking Practices
by: Shevchenko, Valeriy, et al.
Published: (2024)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning
by: Tan, Juntao, et al.
Published: (2024)

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
by: Kruse, Johannes, et al.
Published: (2024)

RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
by: Manderlier, Maxime, et al.
Published: (2024)

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

Dataset Pruning in RecSys and ML: Best Practice or Mal-Practice?
by: Winter, Leonie
Published: (2025)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)

Blending Sequential Embeddings, Graphs, and Engineered Features: 4th Place Solution in RecSys Challenge 2025
by: Makeev, Sergei, et al.
Published: (2025)

From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs
by: Beel, Joeran, et al.
Published: (2025)

EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
by: Quan, Vu Hong, et al.
Published: (2024)

A cross-domain recommender system using deep coupled autoencoders
by: Gkillas, Alexandros, et al.
Published: (2021)

End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)

Countering Mainstream Bias via End-to-End Adaptive Local Learning
by: Pan, Jinhao, et al.
Published: (2024)

End-to-End Personalization: Unifying Recommender Systems with Large Language Models
by: Ebrat, Danial, et al.
Published: (2025)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
by: Cai, Xufeng, et al.
Published: (2025)

Measuring the stability and plasticity of recommender systems
by: Lavoura, Maria João, et al.
Published: (2025)

Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
by: Guan, Lin, et al.
Published: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

Tailor: Size Recommendations for High-End Fashion Marketplaces
by: Candeias, Alexandre, et al.
Published: (2024)

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
by: Liu, Jialin, et al.
Published: (2026)

End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024)

Model-agnostic post-hoc explainability for recommender systems
by: Arévalo, Irina, et al.
Published: (2025)

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

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
by: Gupta, Nilesh, et al.
Published: (2025)

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

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

AlignRec: Aligning and Training in Multimodal Recommendations
by: Liu, Yifan, et al.
Published: (2024)

Post-fusion monolithic hybrid recommender system for suggesting relevant movies to users
by: Rezapour, Mahdi
Published: (2024)

Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
by: Zammali, Saloua, et al.
Published: (2024)

UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization
by: Li, Jialei, et al.
Published: (2026)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
by: Sun, Zhu, et al.
Published: (2022)

CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
by: Chen, Chaochao, et al.
Published: (2024)

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
by: Zhou, Sashuai, et al.
Published: (2025)

UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
by: Li, Hanyu, et al.
Published: (2026)

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

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)

EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs
by: Priyam, Utkarsh, et al.
Published: (2024)