A study of link farm distribution and evolution using a time series of web snapshots. - Young-joo Chung; Masashi Toyoda; Masaru Kitsuregawa (AIRWeb, 2009)

Detecting Link Hijacking by Web Spammers. - Young-joo Chung; Masashi Toyoda; Masaru Kitsuregawa (PAKDD, 2009)

Identifying spam link generators for monitoring emerging web spam. - Young-joo Chung; Masashi Toyoda; Masaru Kitsuregawa (WICOW, 2010)

Detecting Hijacked Sites by Web Spammer Using Link-Based Algorithms. - Young-joo Chung; Masashi Toyoda; Masaru Kitsuregawa (IEICE Trans. Inf. Syst., 2010)

A Study of Link Farm Evolution Using a Time-series of Web Snapshots. - Young-joo Chung; Masashi Toyoda; Masaru Kitsuregawa (Inf. Media Technol., 2011)

Finding food entity relationships using user-generated data in recipe service. - Young-joo Chung (CIKM, 2012)

Recommending Short-lived Dynamic Packages for Golf Booking Services. - Robin M. E. Swezey; Young-joo Chung (CIKM, 2015)

Unsupervised Extractive Summarization for Product Description Using Coverage Maximization with Attribute Concept. - Vijay Daultani; Lasguido Nio; Young-joo Chung (ICSC, 2019)

Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization. - Yang Shi; Young-joo Chung (BMVC, 2021)

Shared Neural Item Representations for Completely Cold Start Problem. - Ramin Raziperchikolaei; Guannan Liang; Young-joo Chung (RecSys, 2021)

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. - Ramin Raziperchikolaei; Tianyu Li; Young-joo Chung (SIGIR, 2021)

A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering. - Ramin Raziperchikolaei; Young-joo Chung (ICDM (Workshops), 2022)

Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering. - Ramin Raziperchikolaei; Young-joo Chung (CoRR, 2022)

Learning Similarity Preserving Binary Codes for Recommender Systems. - Yang Shi; Young-joo Chung (CoRR, 2022)

Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation. - Shion Ishikawa; Young-joo Chung; Yu Hirate (CoRR, 2022)

Meta-Shop: Improving Item Advertisement For Small Businesses. - Yang Shi; Guannan Liang; Young-joo Chung (CoRR, 2022)

Improving position bias estimation against sparse and skewed dataset with item embedding. - Shion Ishikawa; Yun Ching Liu; Young-joo Chung; Yu Hirate (CoRR, 2023)

One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations. - Ramin Raziperchikolaei; Young-joo Chung (RecSys, 2024)

Position Bias Estimation with Item Embedding for Sparse Dataset. - Shion Ishikawa; Yun Ching Liu; Young-joo Chung; Yu Hirate (WWW (Companion Volume), 2024)

Price-guided user attention in large-scale E-commerce group recommendation. - Yang Shi; Young-joo Chung (CoRR, 2024)

Counterfactual Model Selection in Contextual Bandits. - Shion Ishikawa; Young-joo Chung; Yun-Ching Liu; Yu Hirate (SIGIR, 2025)