Yue Shi - RankMe

36 papers A* 6A 16C 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2017	A	`conf`	A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
2017	A*	`conf`	GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. WWW Qian Zhao, Yue Shi, Liangjie Hong
2017	J	`jnl`	Joint Text Embedding for Personalized Content-based Recommendation. CoRR Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun
2017	A*	`conf`	On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017	J	`jnl`	On Sampling Strategies for Neural Network-based Collaborative Filtering. CoRR Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017	A	`conf`	Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. CIKM Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi
2016	J	`jnl`	Learning Optimal Card Ranking from Query Reformulation. CoRR Liangjie Hong, Yue Shi, Suju Rajan
2016	J	`jnl`	Learning Subclass Representations for Visually-varied Image Classification. CoRR Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic
2016	A	`conf`	Scaling Factorization Machines with Parameter Server. CIKM Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan
2016	C	`conf`	Simple tag-based subclass representations for visually-varied image classes. CBMI Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic
2016	J	`jnl`	The Apps You Use Bring The Blogs to Follow. CoRR Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li
2015	A*	`conf`	Building Discriminative User Profiles for Large-scale Content Recommendation. KDD Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan
2015	A	`conf`	Structured Sparse Regression for Recommender Systems. CIKM Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan
2014	A	`conf`	CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2014	J	`jnl`	Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges. ACM Comput. Surv. Yue Shi, Martha A. Larson, Alan Hanjalic
2014	A	`conf`	Cross-Domain Collaborative Filtering with Factorization Machines. ECIR Babak Loni, Yue Shi, Martha A. Larson, Alan Hanjalic
2013	A*	`conf`	CLiMF: Collaborative Less-Is-More Filtering. IJCAI Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2013	J	`jnl`	GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	GAPfm: optimal top-n recommendations for graded relevance domains. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	J	`jnl`	Generalized Tag-induced Cross-Domain Collaborative Filtering CoRR Yue Shi, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	Learning to rank for recommender systems. RecSys Alexandros Karatzoglou, Linas Baltrunas, Yue Shi
2013	J	`jnl`	Mining contextual movie similarity with matrix factorization for context-aware recommendation. ACM Trans. Intell. Syst. Technol. Yue Shi, Martha A. Larson, Alan Hanjalic
2013	J	`jnl`	Nontrivial landmark recommendation using geotagged photos. ACM Trans. Intell. Syst. Technol. Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha A. Larson
2013	—	`—`	Ranking and Context-awareness in Recommender Systems. Yue Shi
2013	J	`jnl`	Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation. Inf. Sci. Yue Shi, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2012	A*	`conf`	Adaptive diversification of recommendation results via latent factor portfolio. SIGIR Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic
2012	A	`conf`	CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2012	—	`conf`	Recommender Systems Evaluation: A 3D Benchmark. RUE@RecSys Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi
2012	A*	`conf`	TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
2011	A	`conf`	How Far Are We in Trust-Aware Recommendation? ECIR Yue Shi, Martha A. Larson, Alan Hanjalic
2011	A	`conf`	Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites. ICWSM Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha A. Larson
2011	A	`conf`	Reranking Collaborative Filtering with Multiple Self-contained Modalities. ECIR Yue Shi, Martha A. Larson, Alan Hanjalic
2011	A	`conf`	Tags as Bridges between Domains: Improving Recommendation with Tag-Induced Cross-Domain Collaborative Filtering. UMAP Yue Shi, Martha A. Larson, Alan Hanjalic
2010	A	`conf`	List-wise learning to rank with matrix factorization for collaborative filtering. RecSys Yue Shi, Martha A. Larson, Alan Hanjalic
2009	A	`conf`	Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering. RecSys Yue Shi, Martha A. Larson, Alan Hanjalic