Publications

Google Scholar Page

2017

  • Zhao, Qian, Yue Shi, and Liangjie Hong. "Gb-cent: Gradient boosted categorical embedding and numerical trees." In Proceedings of the 26th International Conference on World Wide Web, pp. 1311-1319. 2017.

  • Chen, Ting, Yizhou Sun, Yue Shi, and Liangjie Hong. "On sampling strategies for neural network-based collaborative filtering." In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 767-776. 2017.

  • Ning, Yue, Yue Shi, Liangjie Hong, Huzefa Rangwala, and Naren Ramakrishnan. "A gradient-based adaptive learning framework for efficient personal recommendation." In Proceedings of the Eleventh ACM Conference on Recommender Systems, pp. 23-31. 2017.

  • Wu, Qingyun, Hongning Wang, Liangjie Hong, and Yue Shi. "Returning is believing: Optimizing long-term user engagement in recommender systems." In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1927-1936. 2017.

2016

    • Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan. Scaling Up Factorization Machines with Parameter Server. CIKM 2016. (Slides)

    • Liangjie Hong, Yue Shi, Suju Rajan. Learning Optimal Card Ranking from Query Reformulation. arXiv:1606.06816

    • Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li, The Apps You Use Bring the Blogs to Follow. arXiv:1606.08406

    • Xinchao Li, Peng Xu, Yue Shi, Martha Larson and Alan Hanjalic, Simple Tag-based Subclass Representations for Visually-varied Image Classes. CBMI 2016.

2015

    • Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan. 2015. Building Discriminative User Profiles for Large-scale Content Recommendation. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '15). ACM, New York, NY, USA, 2277-2286.

    • Mingjie Qian, Liangjie Hong, Yue Shi, and Suju Rajan. 2015. Structured Sparse Regression for Recommender Systems. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM '15). ACM, New York, NY, USA, 1895-1898.

2014

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2014. Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges. ACM Comput. Surv. 47, 1, Article 3 (May 2014), 45 pages.

    • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, and Alan Hanjalic. 2014. CARS2: Learning Context-aware Representations for Context-aware Recommendations. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM '14). ACM, New York, NY, USA, 291-300. [Code and Data]

    • Loni, Babak, Yue Shi, Martha Larson, and Alan Hanjalic. "Cross-Domain Collaborative Filtering with Factorization Machines." In Advances in Information Retrieval, pp. 656-661. Springer International Publishing, 2014.

2013

    • Alexandros Karatzoglou, Linas Baltrunas, and Yue Shi. 2013. Learning to rank for recommender systems. In Proceedings of the 7th ACM conference on Recommender systems (RecSys '13). ACM, New York, NY, USA, 493-494.

    • Larson, Martha, Paolo Cremonesi, Alan Said, Domonkos Tikk, Yue Shi, and Alexandros Karatzoglou. "Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation." In the first workshop on Crowdsourcing and human computation for recommender systems, ACM Conference Series on Recommender Systems, ACM RECSYS. 2013.

    • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, and Alan Hanjalic. 2013. GAPfm: optimal top-n recommendations for graded relevance domains. In Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13). ACM, New York, NY, USA, 2261-2266.

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2013. Mining contextual movie similarity with matrix factorization for context-aware recommendation. ACM Trans. Intell. Syst. Technol. 4, 1, Article 16 (February 2013), 19 pages.

    • Yue Shi, Pavel Serdyukov, Alan Hanjalic, and Martha Larson. 2013. Nontrivial landmark recommendation using geotagged photos. ACM Trans. Intell. Syst. Technol. 4, 3, Article 47 (July 2013), 27 pages. [Code and Data]

    • Yue, Shi, Martha Larson, and Alan Hanjalic. "Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation." Information Sciences 229 (2013): 29-39.

    • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, and Alan Hanjalic. 2013. xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. In Proceedings of the 7th ACM conference on Recommender systems (RecSys '13). ACM, New York, NY, USA, 431-434.

2012

    • Yue Shi, Xiaoxue Zhao, Jun Wang, Martha Larson, and Alan Hanjalic. 2012. Adaptive diversification of recommendation results via latent factor portfolio. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '12). ACM, New York, NY, USA, 175-184.

    • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, and Nuria Oliver. 2012. TFMAP: optimizing MAP for top-n context-aware recommendation. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '12). ACM, New York, NY, USA, 155-164. [Code]

    • Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver, and Alan Hanjalic. 2012. CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. In Proceedings of the sixth ACM conference on Recommender systems (RecSys '12). ACM, New York, NY, USA, 139-146. (Best Paper Award) [Code]

    • Said, Alan, Domonkos Tikk, Yue Shi, Martha Larson, Klara Stumpf, and Paolo Cremonesi. "Recommender systems evaluation: A 3D benchmark." In ACM RecSys 2012 Workshop on Recommendation Utility Evaluation: Beyond RMSE, Dublin, Ireland, pp. 21-23. 2012.

2011

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2011. How far are we in trust-aware recommendation?. In Proceedings of the 33rd European conference on Advances in information retrieval (ECIR'11), Paul Clough, Colum Foley, Cathal Gurrin, Hyowon Lee, and Gareth J. F. Jones (Eds.). Springer-Verlag, Berlin, Heidelberg, 704-707.

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2011. Reranking collaborative filtering with multiple self-contained modalities. In Proceedings of the 33rd European conference on Advances in information retrieval (ECIR'11), Springer-Verlag, Berlin, Heidelberg, 699-703. (Best Poster Nomination) [Code]

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2011. Mining relational context-aware graph for rater identification. In Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation (CAMRa '11). ACM, New York, NY, USA, 53-59. [Code]

    • Yue, Shi, Pavel Serdyukov, Alan Hanjalic, and Martha Larson. "Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites." ICWSM 11 (2011): 622-625. [Code and Data]

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2011. Tags as bridges between domains: improving recommendation with tag-induced cross-domain collaborative filtering. In Proceedings of the 19th international conference on User modeling, adaption, and personalization (UMAP'11), Joseph A. Konstan, Ricardo Conejo, José L. Marzo, and Nuria Oliver (Eds.). Springer-Verlag, Berlin, Heidelberg, 305-316.

2010

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2010. List-wise learning to rank with matrix factorization for collaborative filtering. In Proceedings of the fourth ACM conference on Recommender systems (RecSys '10). ACM, New York, NY, USA, 269-272. [Code]

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2010. Mining mood-specific movie similarity with matrix factorization for context-aware recommendation. In Proceedings of the Workshop on Context-Aware Movie Recommendation (CAMRa '10). ACM, New York, NY, USA, 34-40. (Overall Winner Award)

    • Yue, Shi, Martha Larson, and Alan Hanjalic. "Towards understanding the challenges facing effective trust-aware recommendation." Recommender Systems and the Social Web (2010): 40.

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2010. Connecting with the collective: self-contained reranking for collaborative recommendation. In Proceedings of the 1st ACM international workshop on Connected multimedia (CMM '10). ACM, New York, NY, USA, 9-14.

2009

    • Yue Shi, Martha Larson, and Alan Hanjalic. 2009. Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering. In Proceedings of the third ACM conference on Recommender systems (RecSys '09). ACM, New York, NY, USA, 125-132.