Young-joo Chung

According to our database, Young-joo Chung authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Price-guided user attention in large-scale E-commerce group recommendation.

Yang Shi, Young-joo Chung

CoRR, 2024

Position Bias Estimation with Item Embedding for Sparse Dataset.

Shion Ishikawa, Yun Ching Liu, Young-joo Chung, Yu Hirate

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations.

Ramin Raziperchikolaei, Young-joo Chung

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Improving position bias estimation against sparse and skewed dataset with item embedding.

Shion Ishikawa, Yun Ching Liu, Young-joo Chung, Yu Hirate

CoRR, 2023

2022

Meta-Shop: Improving Item Advertisement For Small Businesses.

Yang Shi, Guannan Liang, Young-joo Chung

CoRR, 2022

Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation.

Shion Ishikawa, Young-joo Chung, Yu Hirate

CoRR, 2022

Learning Similarity Preserving Binary Codes for Recommender Systems.

Yang Shi, Young-joo Chung

CoRR, 2022

Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering.

Ramin Raziperchikolaei, Young-joo Chung

CoRR, 2022

A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering.

Ramin Raziperchikolaei, Young-joo Chung

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization.

Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Shared Neural Item Representations for Completely Cold Start Problem.

Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization.

Yang Shi, Young-joo Chung

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019

Unsupervised Extractive Summarization for Product Description Using Coverage Maximization with Attribute Concept.

Vijay Daultani, Lasguido Nio, Young-joo Chung

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2015

Recommending Short-lived Dynamic Packages for Golf Booking Services.

Robin M. E. Swezey, Young-joo Chung

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2012

Finding food entity relationships using user-generated data in recipe service.

Young-joo Chung

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

A Study of Link Farm Evolution Using a Time-series of Web Snapshots.

Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa

Inf. Media Technol., 2011

2010

Detecting Hijacked Sites by Web Spammer Using Link-Based Algorithms.

Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa

IEICE Trans. Inf. Syst., 2010

Identifying spam link generators for monitoring emerging web spam.

Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa

Proceedings of the 4th ACM Workshop on Information Credibility on the Web, 2010

2009

Detecting Link Hijacking by Web Spammers.

Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A study of link farm distribution and evolution using a time series of web snapshots.

Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa

Proceedings of the AIRWeb 2009, 2009