Shengbo Guo

According to our database, Shengbo Guo authored at least 15 papers between 2010 and 2025.

Collaborative distances:

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

2025

Modernizing Facebook Scoped Search: Keyword and Embedding Hybrid Retrieval with LLM Evaluation.

Yongye Su, Zeya Zhang, Jane Kou, Cheng Ju, Shubhojeet Sarkar, Yamin Wang, Ji Liu, Shengbo Guo

CoRR, September, 2025

2018

Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed.

Cheng Ju, James Li, Bram Wasti, Shengbo Guo

CoRR, 2018

2014

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors.

Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Introduction to the special issue on social web mining.

Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo

ACM Trans. Intell. Syst. Technol., 2013

Supervised clustering of label ranking data using label preference information.

Mihajlo Grbovic, Nemanja Djuric, Shengbo Guo, Slobodan Vucetic

Mach. Learn., 2013

Connecting comments and tags: improved modeling of social tagging systems.

Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cédric Archambeau, Guillaume Bouchard

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Convex Collective Matrix Factorization.

Guillaume Bouchard, Dawei Yin, Shengbo Guo

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off.

Kar Wai Lim, Scott Sanner, Shengbo Guo

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Score-Based Bayesian Skill Learning.

Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Sparse Bayesian Multi-Task Learning.

Cédric Archambeau, Shengbo Guo, Onno Zoeter

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model.

Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.

Shengbo Guo, Scott Sanner

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Probabilistic latent maximal marginal relevance.

Shengbo Guo, Scott Sanner

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Gaussian Process Preference Elicitation.

Edwin V. Bonilla, Shengbo Guo, Scott Sanner

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.

Shengbo Guo, Scott Sanner

Proceedings of the Advances in Neural Networks, 2010