Search Results for author: Eun Yong Kang

Found 3 papers, 1 papers with code

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks

no code implementations22 Apr 2021 Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie

For the sake of efficient recommendation, conventional methods would generate user and advertisement embeddings independently with a siamese transformer encoder, such that approximate nearest neighbour search (ANN) can be leveraged.

Retrieval

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations

1 code implementation18 Feb 2021 Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie

User states in different channels are updated by an \emph{erase-and-add} paradigm with interest- and instance-level attention.

Recommendation Systems

A powerful and efficient set test for genetic markers that handles confounders

no code implementations3 May 2012 Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl M. Kadie, David Heckerman

Until now, these approaches did not address confounding by family relatedness and population structure, a problem that is becoming more important as larger data sets are used to increase power.

Two-sample testing

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