activity
20192026
most citedGroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

103 citations · 154 across the 35 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 3 cited

Merchant Category Identification Using Credit Card Transactions

Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng +3

Digital payment volume has proliferated in recent years with the rapid growth of small businesses and online shops. When processing these digital transactions, recognizing each mer…

cs.CL2020

How Can Self-Attention Networks Recognize Dyck-n Languages?

Javid Ebrahimi, Dhruv Gelda, Wei Zhang

We focus on the recognition of Dyck-n () languages with self-attention (SA) networks, which has been deemed to be a difficult task for these networks. We compare the…

cs.LG2020★ 6 cited

Towards a Flexible Embedding Learning Framework

Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang +3

Representation learning is a fundamental building block for analyzing entities in a database. While the existing embedding learning methods are effective in various data mining pro…

cs.LG2020★ 3 cited

Multi-future Merchant Transaction Prediction

Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang +1

The multivariate time series generated from merchant transaction history can provide critical insights for payment processing companies. The capability of predicting merchants' fut…

cs.IR2020★ 103 cited

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

Aravind Sankar, Yanhong Wu, Yuhang Wu +3

We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together. Existing studies target persistent…