Data Processing for Offline Evaluation in Recommender Systems: a Survey

arXiv:2609.31696 · cs.IR, cs.LG · Submitted 2026-09-18 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/albertomancino/RecSysDataProcessingSurvey

Terminology

• Benchmark — 90× in this paper · explained in 2 episodes
• Core — 54× in this paper · explained in 2 episodes
• Feature Extraction — 53× in this paper · explained in 2 episodes
• Knowledge Graph — 27× in this paper · explained in 7 episodes
• Provenance — 22× in this paper · explained in 3 episodes
• Embeddings — 17× in this paper · explained in 2 episodes
• Knowledge graphs — 14× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Not Declared — 6× in this paper
• Pruning — 6× in this paper · explained in 4 episodes
• Sparsity — 6× in this paper · explained in 4 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Representation Learning — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Information Leakage — 2× in this paper · explained in 2 episodes
• Matrix Completion — 2× in this paper · explained in 3 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal approach — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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