Pinterest

The 'Pinterest' dataset is a benchmark that contains user-item interactions along with associated attributes, used to evaluate recommender systems, particularly in addressing cold-start problems and enhancing user-item interaction modeling.

Papers using Pinterest (4)

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration2025Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018 · 2,754 citesHierarchical Temporal Convolutional Networks for Dynamic Recommender Systems2019 · 118 citesCross-Attribute Matrix Factorization Model with Shared User Embedding2023 · 1 cites