Yue Shi

According to our database, Yue Shi authored at least 34 papers between 2009 and 2017.

Collaborative distances:

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

2017

Joint Text Embedding for Personalized Content-based Recommendation.

Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun

CoRR, 2017

GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees.

Qian Zhao, Yue Shi, Liangjie Hong

Proceedings of the 26th International Conference on World Wide Web, 2017

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.

Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

On Sampling Strategies for Neural Network-based Collaborative Filtering.

Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.

Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

The Apps You Use Bring The Blogs to Follow.

Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li

CoRR, 2016

Learning Subclass Representations for Visually-varied Image Classification.

Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic

CoRR, 2016

Learning Optimal Card Ranking from Query Reformulation.

Liangjie Hong, Yue Shi, Suju Rajan

CoRR, 2016

Scaling Factorization Machines with Parameter Server.

Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Simple tag-based subclass representations for visually-varied image classes.

Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

2015

Building Discriminative User Profiles for Large-scale Content Recommendation.

Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Structured Sparse Regression for Recommender Systems.

Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges.

Yue Shi, Martha A. Larson, Alan Hanjalic

ACM Comput. Surv., 2014

Cross-Domain Collaborative Filtering with Factorization Machines.

Babak Loni, Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the Advances in Information Retrieval, 2014

CARS2: Learning Context-aware Representations for Context-aware Recommendations.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Ranking and Context-awareness in Recommender Systems.

Yue Shi

PhD thesis, 2013

Nontrivial landmark recommendation using geotagged photos.

Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha A. Larson

ACM Trans. Intell. Syst. Technol., 2013

Mining contextual movie similarity with matrix factorization for context-aware recommendation.

Yue Shi, Martha A. Larson, Alan Hanjalic

ACM Trans. Intell. Syst. Technol., 2013

Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation.

Yue Shi, Martha A. Larson, Alan Hanjalic

Inf. Sci., 2013

Generalized Tag-induced Cross-Domain Collaborative Filtering

Yue Shi, Martha A. Larson, Alan Hanjalic

CoRR, 2013

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning to rank for recommender systems.

Alexandros Karatzoglou, Linas Baltrunas, Yue Shi

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

CLiMF: Collaborative Less-Is-More Filtering.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic

Proceedings of the IJCAI 2013, 2013

GAPfm: optimal top-n recommendations for graded relevance domains.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Adaptive diversification of recommendation results via latent factor portfolio.

Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic

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

TFMAP: optimizing MAP for top-n context-aware recommendation.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver

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

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Recommender Systems Evaluation: A 3D Benchmark.

Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha A. Larson, Paolo Cremonesi

Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

2011

Tags as Bridges between Domains: Improving Recommendation with Tag-Induced Cross-Domain Collaborative Filtering.

Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the User Modeling, Adaption and Personalization, 2011

Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites.

Yue Shi, Pavel Serdyukov, Alan Hanjalic, Martha A. Larson

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

How Far Are We in Trust-Aware Recommendation?

Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the Advances in Information Retrieval, 2011

Reranking Collaborative Filtering with Multiple Self-contained Modalities.

Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the Advances in Information Retrieval, 2011

2010

List-wise learning to rank with matrix factorization for collaborative filtering.

Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

2009

Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering.

Yue Shi, Martha A. Larson, Alan Hanjalic

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009