Latent Cross: Making Use of Context in Recurrent Recommender Systems. - Alex Beutel; Paul Covington; Sagar Jain; Can Xu 004; Jia Li; Vince Gatto; Ed H. Chi (WSDM, 2018)

Towards Neural Mixture Recommender for Long Range Dependent User Sequences. - Jiaxi Tang; Francois Belletti; Sagar Jain; Minmin Chen; Alex Beutel; Can Xu 004; Ed H. Chi (WWW, 2019)

Values of User Exploration in Recommender Systems. - Minmin Chen; Yuyan Wang; Can Xu 004; Ya Le; Mohit Sharma 002; Lee Richardson; Su-Lin Wu; Ed H. Chi (RecSys, 2021)

User Response Models to Improve a REINFORCE Recommender System. - Minmin Chen; Bo Chang 002; Can Xu 004; Ed H. Chi (WSDM, 2021)

Surrogate for Long-Term User Experience in Recommender Systems. - Yuyan Wang; Mohit Sharma 002; Can Xu 004; Sriraj Badam; Qian Sun 005; Lee Richardson; Lisa Chung; Ed H. Chi; Minmin Chen (KDD, 2022)

Off-Policy Actor-critic for Recommender Systems. - Minmin Chen; Can Xu 004; Vince Gatto; Devanshu Jain; Aviral Kumar; Ed H. Chi (RecSys, 2022)

Recency Dropout for Recurrent Recommender Systems. - Bo Chang 002; Can Xu 004; Matthieu Lê; Jingchen Feng; Ya Le; Sriraj Badam; Ed H. Chi; Minmin Chen (CoRR, 2022)

Reward Shaping for User Satisfaction in a REINFORCE Recommender. - Konstantina Christakopoulou; Can Xu 004; Sai Zhang; Sriraj Badam; Trevor Potter; Daniel Li; Hao Wan; Xinyang Yi; Ya Le; Chris Berg; Eric Bencomo Dixon; Ed H. Chi; et al. (CoRR, 2022)

Latent User Intent Modeling for Sequential Recommenders. - Bo Chang 002; Alexandros Karatzoglou; Yuyan Wang; Can Xu 004; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2023)

Reward Shaping for User Satisfaction. - Konstantina Christakopoulou; Can Xu 004; Sai Zhang; Sriraj Badam; Trevor Potter; Daniel Li; Hao Wan; Xinyang Yi; Ya Le; Chris Berg; Eric Bencomo Dixon; Ed H. Chi; et al. (ECML/PKDD (6), 2025)