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Customer Program
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Shared Neural Item Representations for Completely Cold Start Problem
Author: Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung
Recsys2021 open new tab
Dec 2021
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Research Areas : #Customer Program
Careers : Positions
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
Author: Yang Shi, Young Joo Chung
BMVC2021 open new tab
Nov 2021
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Research Areas : #Customer Program
Careers : Positions
Improving Cold-start Item Advertisement for Small Businesses
Author: Yang Shi, Young Joo Chung
SIGIReCOM open new tab
Jul 2021
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Research Areas : #Customer Program
Tags : #Recommender systems
Careers : Positions
Simpson’s Bias in NLP Training
Author: Fei Yuan ( University of Electronic Science and Technology of China), Zhang Longtu, Huang Bojun, Yaobo Liang ( Microsoft Research Asia)
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) open new tab
Mar 2021
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Research Areas : #Customer Program
Tags : #Bias mitigation #Machine Learning #Natural Language Processing
Careers : Positions
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
Author: Ramin Raziperchikolaei, Young Joo Chung, Tianyu Li
BayLearn 2020 open new tab
Dec 2020
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Research Areas : #Customer Program
Careers : Positions
Deep Heterogeneous Autoencoders for Collaborative Filtering
Author: Tianyu Li, Yukun Ma, Jiu Xu, Bjorn Stenger, Chen Liu, Yu Hirate
IEEE International Conference on Data Mining (ICDM 2018) open new tab
Dec 2018
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Research Areas : #Customer Program
Tags : #Data Mining #Recommender systems
Careers : Positions
Large-scale recommendation for portfolio optimization
Author: Robin M. E. Swezey, Bruno Charron
RecSys 2018, 382—386 open new tab
Dec 2017
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Research Areas : #Customer Program
Tags : #Information Retrieval #Machine Learning #Recommender systems
Careers : Positions
A content-based recommender system for e-commerce offers and coupons
Author: Yandi Xia, Giuseppe Di Fabbrizio, Shikhar Vaibhav and Ankur Datta
In Proceedings of SIGIR eCom 2017, Tokyo, Japan, August 2017, 7 pages. open new tab
Aug 2017
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Research Areas : #Customer Program
Tags : #Recommender systems
Careers : Positions
Predicting Sales from the Language of Product Descriptions
Author: Reid Pryzant, Young-joo Chung, Dan Jurafsky
In Proceedings of SIGIR, Tokyo, Japan, August 2017 (SIGIR 2017 eCom), 10 pages open new tab
Aug 2017
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Research Areas : #Customer Program #Language Program
Tags : #Customer Attribute prediction
Careers : Positions
Index partitioning through a bipartite graph model for faster similarity search in recommendation systems
Author: Ali Cevahir and Junji Torii
Information Systems Frontiers, 2016. open new tab
Apr 2016
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Research Areas : #Customer Program
Tags : #Machine Learning #Recommender systems
Careers : Positions
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