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2020 – today
- 2024
[c12]Ramin Raziperchikolaei
, Young-joo Chung:
One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations. RecSys 2024: 1033-1038- [c11]Shion Ishikawa, Yun Ching Liu, Young-joo Chung, Yu Hirate:
Position Bias Estimation with Item Embedding for Sparse Dataset. WWW (Companion Volume) 2024: 895-898 - 2023
- [i9]Shion Ishikawa, Yun Ching Liu, Young-joo Chung, Yu Hirate:
Improving position bias estimation against sparse and skewed dataset with item embedding. CoRR abs/2305.13931 (2023) - 2022
- [c10]Ramin Raziperchikolaei, Young-joo Chung:
A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering. ICDM (Workshops) 2022: 1162-1167 - [i8]Yang Shi, Young-joo Chung:
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization. CoRR abs/2202.10232 (2022) - [i7]Ramin Raziperchikolaei, Young-joo Chung:
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering. CoRR abs/2203.07463 (2022) - [i6]Yang Shi, Young-joo Chung:
Learning Similarity Preserving Binary Codes for Recommender Systems. CoRR abs/2204.08569 (2022) - [i5]Shion Ishikawa, Young-joo Chung, Yu Hirate:
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation. CoRR abs/2208.11926 (2022) - [i4]Ramin Raziperchikolaei, Young-joo Chung:
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations. CoRR abs/2208.14594 (2022) - [i3]Yang Shi, Guannan Liang, Young-joo Chung:
Meta-Shop: Improving Item Advertisement For Small Businesses. CoRR abs/2212.01414 (2022) - 2021
- [c9]Yang Shi, Young-joo Chung:
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization. BMVC 2021: 409 - [c8]Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung:
Shared Neural Item Representations for Completely Cold Start Problem. RecSys 2021: 422-431 - [c7]Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung:
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. SIGIR 2021: 1743-1747 - [i2]Robin M. E. Swezey, Young-joo Chung:
Recommending Short-lived Dynamic Packages for Golf Booking Services. CoRR abs/2103.07779 (2021) - 2020
- [i1]Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung:
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. CoRR abs/2010.06070 (2020)
2010 – 2019
- 2019
- [c6]Vijay Daultani, Lasguido Nio, Young-joo Chung:
Unsupervised Extractive Summarization for Product Description Using Coverage Maximization with Attribute Concept. ICSC 2019: 114-117 - 2015
- [c5]Robin M. E. Swezey, Young-joo Chung:
Recommending Short-lived Dynamic Packages for Golf Booking Services. CIKM 2015: 1779-1782 - 2012
- [c4]Young-joo Chung:
Finding food entity relationships using user-generated data in recipe service. CIKM 2012: 2611-2614 - 2011
- [j2]Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
A Study of Link Farm Evolution Using a Time-series of Web Snapshots. Inf. Media Technol. 6(3): 745-758 (2011) - 2010
- [j1]Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
Detecting Hijacked Sites by Web Spammer Using Link-Based Algorithms. IEICE Trans. Inf. Syst. 93-D(6): 1414-1421 (2010) - [c3]Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
Identifying spam link generators for monitoring emerging web spam. WICOW 2010: 51-58
2000 – 2009
- 2009
- [c2]Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
A study of link farm distribution and evolution using a time series of web snapshots. AIRWeb 2009: 9-16 - [c1]Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
Detecting Link Hijacking by Web Spammers. PAKDD 2009: 339-350
Coauthor Index
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