[Up-to-date] A curated list of resources on cold-start recommendations.
recommender-system cold-start recommendation user-modeling graph-learning large-language-models cold-start-problem
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Mar 26, 2026
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cold-start-problem
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Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.
data-science machine-learning collaborative-filtering recommendation-system python-project hybrid-recommendation hybrid-recommender-system ai-project hybrid-recommendation-engine content-based-filtering personalized-recommendation book-recommendation-model book-recommendation-system cold-start-problem collaborative-filtering-recommendation dockerized-app ai-recommendation-system user-personalization ai-recommendations personalized-recommendation-system
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Mar 2, 2026 - Python
This study aims to investigate the effectiveness of three Transformers (BERT, RoBERTa, XLNet) in handling data sparsity and cold start problems in the recommender system. We present a Transformer-based hybrid recommender system that predicts missing ratings and ex- tracts semantic embeddings from user reviews to mitigate the issues.
matrix-factorization transformer bert multilabel-classification sentence-embeddings hybrid-recommender-system roberta transformer-architecture xlnet cold-start-problem
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May 30, 2024 - Jupyter Notebook
[TMLR 2025] Node Duplication Improves Cold-start Link Prediction
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May 24, 2023 - Python
[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"
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Apr 25, 2024 - Python
USC CS599/656 | Edge FaaS — Cold-Start Mitigation for Edge Serverless🚀🚀🚀
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May 3, 2026 - Python
Exploring market maker models for e-commerce dynamic pricing
e-commerce market-maker meta-learning jax pricing-engine quant-finance cold-start-problem dynamic-pricing-model
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Apr 1, 2026 - Python
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cloudflare azure-functions cold-start google-cloud-functions function-compute numerical-weather-prediction cloud-computer lamda-functions cold-start-problem cloudfront-end weather-as-a-service
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Apr 30, 2026 - C#
A collaborative-filter-based music recommender machine
spark high-performance-computing recommender-system data-preprocessing lightfm alternating-least-squares latent-factor-model cold-start-problem baseline-popularity-model training-validation-split
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Jun 2, 2023 - Python
An intelligent recommender system based on deep denoising graph convolutional autoencoder and learning automata
autoencoder recommender-systems graph-convolutional-networks learning-automata sparsity-problem cold-start-problem
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Jul 9, 2025 - Python
Matrix Factorization–based recommender system built from scratch and with cmfrec, evaluated using RMSE, Precision@K, and Recall@K on the Yelp dataset.
machine-learning collaborative-filtering matrix-factorization recommendation-engine recommender-system cmf sparse-matrix ranking-metrics cold-start-problem recall-at-k precision-at-k
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Feb 11, 2026 - Jupyter Notebook
Open-source distributed uptime monitoring | Flask + Celery + Redis + Docker | Asynchronous task processing | Celery Beat scheduler | PostgreSQL/SQLite | HTMX real-time UI | HTTP/2 support | Container orchestration | Prevent cold starts | Health check automation | Python 3.13
docker redis flask devops distributed-systems microservice postgresql python3 uptime-monitor celery htmx neondb cold-start-problem
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May 28, 2026 - HTML
Implemented rank-based recommendation system and various collaborative filtering models using Python (NumPy, Pandas, Scikit-learn). Addressed sparsity and cold start problems. Evaluated models using MAE, RMSE, and precision metrics.
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May 25, 2023 - Jupyter Notebook
Inductive Latent Context Persistence (ILCP) for Agentic AI. This infrastructure persists, routes, and reuses LLM latent context across multi-agent DAGs. By eliminating redundant prefix-prefill compute and optimizing bare-metal VRAM allocation, ILCP drastically lowers tail-latency for parallel agent inference in compute-constrained setups.
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Jun 16, 2026 - Python
Cold-start como tarefa de completude em grafos de conhecimento: uma abordagem via encoders rasos de propagação. Dissertação apresentada para conclusão do mestrado em ciência da computação no PPGCC da UFMG.
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Nov 3, 2025 - Jupyter Notebook
Two-Tower RecSys + FAISS retrieval + cold-start demo (Amazon Video Games 2023)
deep-learning pytorch matrix-factorization ranking recommender-system retrieval-systems streamlit-dashboard lightgcn two-tower-neural-networks ml-engineering-for-production cold-start-problem faiss-vector-database
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May 5, 2026 - Python
A comparative study of recommender system strategies for news articles using the MIND dataset, focusing on both accuracy and beyond-accuracy metrics.
python news collaborative-filtering auc recsys recommender-system mind cf ndcg cbf mrr content-based-filtering cold-start-problem news-recommendation-system mind-dataset
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Apr 28, 2026 - Jupyter Notebook
making of a recommendations retriever using embedding models and approx nearest neighbor library
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Jun 14, 2026 - Python
Existing cross-domain recommendation methods rely on overlapping users and source interaction sequences to learn preference transfer function, leaving the rich structural information in pre-trained target-domain embeddings unexploited. In this paper, we propose COTA (Cluster Optimal Transport Alignment), a framework for cold-start CDR.
optimal-transport mixture-of-experts cross-domain-recommendation prototype-learning cold-start-problem
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Jun 14, 2026 - Jupyter Notebook
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