SASRec
ai model↑ rising
SASRec, developed by researchers, is a self-attention-based sequential recommendation model that excels at capturing long-term user behavior patterns for accurate next-item prediction.
2Total Mentions
+0.10Sentiment (Neutral)
+1.4%Velocity (7d)
First seen: Mar 28, 2026Last active: 3d ago
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Recent Articles
2New Research Proposes a Training-Free Method to Estimate Accuracy Limits for Sequential Recommenders
~Researchers propose an entropy-based, model-agnostic estimator to quantify the intrinsic accuracy ceiling of sequential recommendation tasks. This all
98 relevanceHyenaRec: A Polynomial-Based Architecture for Fast, Scalable Sequential Recommendation
~Researchers propose HyenaRec, a novel sequential recommender using Legendre polynomial kernels and gated convolutions. It achieves better accuracy tha
83 relevance
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Sentiment History
6-W136-W14
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W13 | 0.10 | 1 |
| 2026-W14 | 0.10 | 1 |