TailSpec-EASE: Knowledge-Graph-Regularized Linear Recommendation for Web Long-Tail Discovery

arXiv:2609.26143 · cs.IR, cs.LG · Submitted 2026-08-08 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-08-08

Updated: 2026-08-08

Comments: Accepted at the main research track of WISE 2026 (26th International Conference on Web Information Systems Engineering)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Knowledge Graph — 9× in this paper · explained in 7 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Knowledge graphs — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Conference on Knowledge Discovery and Data Mining — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• IEEE International Conference on Data Mining — 2× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• International Conference on World Wide Web — 1× in this paper
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

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