Cover Image

RePlay: a Recommendation Framework for Experimentation and Production Use

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vasilev, Alexey, Volodkevich, Anna, Kulandin, Denis, Bysheva, Tatiana, Klenitskiy, Anton
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
by: Klenitskiy, Anton, et al.
Published: (2024)

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
by: Gusak, Danil, et al.
Published: (2025)

SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits
by: Volodkevich, Anna, et al.
Published: (2026)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
by: Pembek, Anton, et al.
Published: (2025)

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

QoS-Aware Graph Contrastive Learning for Web Service Recommendation
by: Choi, Jeongwhan, et al.
Published: (2024)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
by: Klenitskiy, Anton, et al.
Published: (2025)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
by: Hartman, Jan, et al.
Published: (2024)

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
by: Dang, Yen-Trang, et al.
Published: (2024)

Studying and Recommending Information Highlighting in Stack Overflow Answers
by: Ahmed, Shahla Shaan, et al.
Published: (2024)

Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
by: Roberts, Lucas, et al.
Published: (2025)

CLAX: Fast and Flexible Neural Click Models in JAX
by: Hager, Philipp, et al.
Published: (2025)

LoRACode: LoRA Adapters for Code Embeddings
by: Chaturvedi, Saumya, et al.
Published: (2025)

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers
by: Semmelrock, Harald, et al.
Published: (2024)

RANGER -- Repository-Level Agent for Graph-Enhanced Retrieval
by: Shah, Pratik, et al.
Published: (2025)

BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning
by: Chakraborty, Partha, et al.
Published: (2024)

Spiral Model Technique For Data Science & Machine Learning Lifecycle
by: Mahadevan, Rohith
Published: (2025)

Long Code Arena: a Set of Benchmarks for Long-Context Code Models
by: Bogomolov, Egor, et al.
Published: (2024)

ReCode: Updating Code API Knowledge with Reinforcement Learning
by: Wu, Haoze, et al.
Published: (2025)

Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs
by: Jain, Rishabh, et al.
Published: (2024)

A Survey on Query-based API Recommendation
by: Wei, Moshi, et al.
Published: (2023)

Evaluating LLM-Based Mobile App Recommendations: An Empirical Study
by: Motger, Quim, et al.
Published: (2025)

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
by: Pham, Phuoc, et al.
Published: (2025)

Searching, fast and slow, through product catalogs
by: Ubrangala, Dayananda, et al.
Published: (2024)

A Defect is Being Born: How Close Are We? A Time Sensitive Forecasting Approach
by: Robredo, Mikel, et al.
Published: (2026)

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports
by: Rahman, Md Rayhanur, et al.
Published: (2024)

Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
by: Li, Haochen, et al.
Published: (2024)

Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models
by: de Oliveira, Matheus Vinicius da Silva, et al.
Published: (2025)

Making Software FAIR: A machine-assisted workflow for the research software lifecycle
by: Knoth, Petr, et al.
Published: (2025)

LLM Based Long Code Translation using Identifier Replacement
by: Chakraborty, Manojit, et al.
Published: (2025)

Embedding-based search in JetBrains IDEs
by: Abramov, Evgeny, et al.
Published: (2024)

Use as Directed? A Comparison of Software Tools Intended to Check Rigor and Transparency of Published Work
by: Eckmann, Peter, et al.
Published: (2025)

Encode Me If You Can: Learning Universal User Representations via Event Sequence Autoencoding
by: Klenitskiy, Anton, et al.
Published: (2025)

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

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
by: Kurowski, Kelly, et al.
Published: (2025)

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026)

MGS3: A Multi-Granularity Self-Supervised Code Search Framework
by: Li, Rui, et al.
Published: (2025)

SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining
by: Jelodar, Hamed, et al.
Published: (2025)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
by: Samra, Abdulaziz, et al.
Published: (2024)