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Junqi Jin

3 accepted papers

2023

Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation

IJCAI 2023poster

In large-scale e-commerce live-stream recommendation, streamers are classified into different levels based on their popularity and other metrics for marketing. Several top streamers at the head level occupy a considerable amount of exposure, resulting in an unbalanced data distribution. A unified mo…

Cited by 1SourcePDFScholar
2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

ICML 2020poster

In E-commerce, advertising is essential for merchants to reach their target users. The typical objective is to maximize the advertiser’s cumulative revenue over a period of time under a budget constraint. In real applications, an advertisement (ad) usually needs to be exposed to the same user multip…

Cited by 29SourcePDFScholar
2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

IJCAI 2020poster

Bipartite b-matching is fundamental in algorithm design, and has been widely applied into diverse applications, such as economic markets, labor markets, etc. These practical problems usually exhibit two distinct features: large-scale and dynamic, which requires the matching algorithm to be repeatedl…

Cited by 0SourcePDFScholar