当前标签：SIGIR

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

馒头and花卷 2024-10-16 14:03 阅读:26 评论:0 推荐:0 编辑

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

馒头and花卷 2024-04-02 16:27 阅读:97 评论:0 推荐:0 编辑

Attention Mixtures for Time-Aware Sequential Recommendation

馒头and花卷 2023-09-17 09:53 阅读:48 评论:0 推荐:0 编辑

Time Matters Sequential Recommendation with Complex Temporal Information

馒头and花卷 2023-09-07 11:40 阅读:36 评论:0 推荐:0 编辑

Graph Masked Autoencoder for Sequential Recommendation

馒头and花卷 2023-06-22 14:35 阅读:165 评论:0 推荐:0 编辑

EulerNet Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction

馒头and花卷 2023-06-19 14:45 阅读:194 评论:0 推荐:0 编辑

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

馒头and花卷 2023-05-31 19:38 阅读:149 评论:0 推荐:0 编辑

Novelty and diversity in information retrieval evaluation

馒头and花卷 2023-03-22 15:37 阅读:149 评论:0 推荐:0 编辑

Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval

馒头and花卷 2023-03-19 15:17 阅读:17 评论:0 推荐:0 编辑

Maximal Marginal Relevance

馒头and花卷 2023-03-17 10:21 阅读:44 评论:0 推荐:0 编辑

Optimizing Top-N Collaborative Filtering via Dynamic Negative Item Sampling

馒头and花卷 2023-02-19 14:18 阅读:142 评论:0 推荐:0 编辑

A Dynamic Recurrent Model for Next Basket Recommendation

馒头and花卷 2023-02-08 16:48 阅读:56 评论:0 推荐:0 编辑

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

馒头and花卷 2022-11-01 14:27 阅读:71 评论:0 推荐:0 编辑

AutoDebias: Learning to Debias for Recommendation

馒头and花卷 2022-08-19 18:07 阅读:246 评论:0 推荐:1 编辑

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

馒头and花卷 2022-08-11 21:16 阅读:196 评论:0 推荐:1 编辑

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

馒头and花卷 2022-08-07 11:42 阅读:397 评论:0 推荐:1 编辑

Less is More: Reweighting Important Spectral Graph Features for Recommendation

馒头and花卷 2022-07-28 21:54 阅读:365 评论:0 推荐:0 编辑

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering

馒头and花卷 2022-07-27 15:58 阅读:323 评论:0 推荐:1 编辑

Explainable Fairness in Recommendation

馒头and花卷 2022-07-15 12:19 阅读:234 评论:4 推荐:0 编辑

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

馒头and花卷 2022-06-15 23:02 阅读:373 评论:0 推荐:0 编辑