A Systematic Benchmark of Explainable Methods for Temporal Attribution in Sequential Recommendation Systems
cs.LG
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- Learning to Estimate Shapley Values with Vision Transformers
- Towards A Rigorous Science of Interpretable Machine Learning
- Session-based Recommendations with Recurrent Neural Networks
- TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications
- FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
- Captum: A unified and generic model interpretability library for PyTorch
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
- KuaiFormer: Transformer-Based Retrieval at Kuaishou
- Limitations of Normalization in Attention Mechanism
- TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
- Is Attention Interpretable?
- Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
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