诺库维普

登录注册搜索设为首页

博文
相关博文

通过实验分析目前推荐系统领域中的一些问题，如实验结果的可复现性，性能提升等。

论文作者给出了一个消极的报告。

(1) SMONE: A Session-based Recommendation Model based on Neighbor Sessions with Similar Probabilistic Intentions

(2) Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback

(3) MLP4Rec: A Pure MLP Architecture for Sequential Recommendations

(4) Self-supervised Graph Neural Networks for Multi-behavior Recommendation

(5) Collaborative Self-Attention Network for Session-based Recommendation

(6) Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

(7) Discrete Embedding for Latent Networks

(8) Exploiting the Dynamic Mutual Influencefor Predicting Social Event Participation

(9) Improving Sequential Recommendation with Knowledge-Enhanced Memory Network

(10) Next-item Recommendation with Sequential Hypergraphs

留言

文献基本信息

文献题目			去谷歌学术搜索
Methodological Issues in Recommender Systems Research
文献作者
文献发表年限			2020
文献关键字
消极的、领域进展
摘要描述

博主信息

Nengjun 内部成员

博主其他文章

From Zero-Shot Learning to Cold-Start Recommendation

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

Non-Compensatory Psychological Models for Recommender Systems

Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation

Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation

Phrase Table as Recommendation Memory for Neural Machine Translation

推荐博主