55k is stable, and the recommendation system will always drop God!

Recommend the system as AI One of the most successful and important applications , Help consumers find relevant or interesting content more easily 、 Goods or services .

For students who want to learn recommendation system , I sorted out WSDM2022 The latest includes sequence recommendations 、 Cross domain recommendation 、 Depolarization recommendation 、 Federal recommendation, etc 13 Recommendation system papers , For you to appreciate the latest academic trends and ideas in advance .

Cross domain recommendation

01.RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

02.Personalized Transfer of User Preferences for Cross-domain Recommendation

Sequence recommendation

03.Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation

04.Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Depolarization recommendation

05.It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic

06.Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning

Federal recommendation

07.PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion

Recommendation based on graph structure

08.Profiling the Design Space for Graph Neural Networks based Collaborative Filtering

09.Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

Fairness recommendation

10.Enumerating Fair Packages for Group Recommendations

Recommendation based on meta learning

11.Long Short-Term Temporal Meta-learning in Online Recommendation

Recommendation based on reinforcement learning

12.A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

13.Choosing the Best of All Worlds: Accurate, Diverse, and Novel Recommendations through Multi-Objective Reinforcement Learning

So many recommended papers , How to do intensive reading and extensive reading , It can give you a general understanding of the algorithms of each part of the recommendation system , I recommend you to listen Pirtuo The teacher's 《 Welcome to the world of recommendation 》 Live class .

—— Teacher introduction ——

—— Live program  ——

7 month 21 Japan evening 20：00

• Start camp

• Overview of recommendation system

• Recall algorithm overview

• Overview of sorting algorithms

• Extensive reading of papers

• Learning path

7 month 22 Japan evening 20：00

• INTRODUCTION

• RECOMMENDER SYSTEM OVERVIEW

• WIDE & DEEP LEARNING

• SYSTEM IMPLEMENTATION

• EXPERIMENT RESULTS

payment 0.1 Yuan receive live broadcast

Students who have made an appointment , Additional bonus 2022 Recommendation system paper13 piece ~