Time Will Tell: Harness Time to Denoise Collaborative Filtering

The paper introduces TintCF, a method that incorporates time-aware user and item embeddings to denoise collaborative filtering models. By reweighting the adjacency matrix (Tint‑A) or the loss function (Tint‑L), the approach leverages temporal patterns to identify and correct noisy or malicious interactions. Experiments on four real‑world datasets demonstrate that incorporating time information improves model robustness and performance.

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