Publications Related to Collaborative filtering

  1. Learning from Sets of Items in Recommender Systems.

    Mohit Sharma, F. Maxwell Harper, and George Karypis. 9th Intl. Conf. on Information, Process, and Knowledge Management (eKNOW), 2017.

  1. Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.

    Sara Morsy and George Karypis. SIAM Data Mining Conference (SDM), 2017.

  1. Grade Prediction with Course and Student Specifi c Models.

    Agoritsa Polyzou and George Karypis. International Journal of Data Science and Analytics, 2016.

  1. Fast Parallel Cosine K-Nearest Neighbor Graph Construction.

    David Anastasiu and George Karypis. 6th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2016.

  1. Big Data and Recommender Systems.

    David Anastasiu, Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, and George Karypis . Novatica: Journal of the Spanish Computer Scientist Association, no. 200, 2016.

  1. Predicting Student Performance Using Personalized Analytics.

    Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, and Huzefa Rangwala. IEEE Computer, pp. 61—69, April , 2016.

  1. Grade Prediction with Course and Student Specific Models.

    Agoritsa Polyzou and George Karypis. 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

  1. Local Item-Item Models for Top-N Recommendation.

    Evangelia Christakopoulou and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.

  1. Domain-Aware Grade Prediction and Top-N Course Recommendation.

    Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.

  1. Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.

    Mohit Sharma, Jiayu Zhou, Junling Hu, and George Karypis. 2015 SIAM International Conference on Data Mining, 2015.

  1. A comprehensive survey of neighborhood-based recommendation methods.

    Xia Ning, Christian Desrosiers, and George Karypis. In Recommender Systems Handbook; 2nd edition, 2015.

  1. NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.

    Santosh Kabbur and George Karypis. 7th ICDM International Workshop on Domain Driven Data Mining (DDDM), 2014.