Project Publications


Papers Published/Accepted

Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si: Preference preserving hashing for efficient recommendation. SIGIR 2014: 183-192

Suleyman Cetintas, Luo Si, Yan Ping Xin, Ron Tzur: Probabilistic latent class models for predicting student performance. CIKM 2013: 1513-1516 

Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si: Learning compact hashing codes for efficient tag completion and prediction. CIKM 2013: 1789-1794

Lei Cen, Eduard Dragut, Luo Si and Mourad Ouzzani. Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion. SIGIR 0213 741-744.

Suleyman Cetintas, Datong Chen, Luo Si. (2013). Forecasting user visits for online display advertising. Inf. Retr. 16(3): 369-390.

Yi Fang, Luo Si. (2012). A latent pairwise preference learning approach for recommendation from implicit feedback. CIKM.

Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu. (2012) "Mining Contrastive Opinions on Political Texts using Cross-Perspective Topic Model". In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM)

Yi Fang and Luo Si. (2011) "Matrix Co-Factorization for Recommendation with Rich Side Information and Implicit Feedback". In Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems.

Suleyman Cetintas, Datong Chen and Luo Si. (2012). “Forecasting User Visits for Online Display Advertising.”  (Journal of Information Retrieval).

Dan Zhang, Jingdong Wang, Luo Si. (2011). “Document Clustering with Universum”. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

Dan Zhang, Fei Wang, Luo Si. (2011). “Composite Hashing with Multiple Information Sources”. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

Yi Fang, Luo Si, Zhengtao Yu, Naveen Somasundaram and Yantuan Xian. Purdue at TREC 2010 Entity Track: a Probabilistic Framework for Matching Types between Candidate and Target Entities. In Proceedings of the 18th Text REtrieval Conference (TREC), Gaithersburg, USA, 2010.Rong Jin, Luo Si, ChengXiang Zhai. (2006). "A Study of Mixture Models for Collaborative Filtering" Journal of Information Retrieval.

Luo Si and Rong Jin. (2003). "Flexible Mixture Model for Collaborative Filtering" In Proceedings of the Twentieth International Conference on Machine Learning (ICML).