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

Improving Implicit Recommender Systems with View Data

Improving Entity Recommendation with Search Log and Multi-Task Learning

A Deep Framework for Cross-Domain and Cross-System Recommendations

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

Next Item Recommendation with Self-Attentive Metric Learning

Diversifying Personalized Recommendation with User-session Context

Multi-layer Representation Learning for Medical Concepts

推荐博主