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Joint optimization of tree-based index and deep model for recommender systems
Joint optimization of tree-based index and deep model for recommender systems. -
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
A concept-aware denoising graph neural network for micro-video recommendation -
Amazon
The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on... -
Style Conditioned Recommendations
The dataset used in this paper is a user-item click matrix with item content data and item style labels. -
New Insights into Metric Optimization for Ranking-based Recommendation
This dataset is used for the experiment of learning to rank and user fairness in recommender systems. -
Leave No User Behind: Towards Improving the Utility of Recommender Systems fo...
This dataset is used for the experiment of improving the utility of recommender systems for non-mainstream users. -
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
This dataset is used for the experiment of mitigating mainstream bias in recommender systems. -
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems
This dataset is used for the experiment of metric optimization for ranking-based recommendation systems. -
Amazon-Book
The Amazon-Book dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems. -
Mobile Taobao
The dataset is used for click-through rate (CTR) prediction task in recommender systems. -
Amazon Electronics
The dataset is used for click-through rate (CTR) prediction task in recommender systems. -
MovieLens 20M
The dataset used in this paper is the MovieLens 20M dataset, which contains ratings from 92,032 users on 20,000 movies.
