Publications Related to Collaborative Filtering
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RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation.
Athanasios N Nikolakopoulos and George Karypis. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM'19), 2019.
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Local Latent Space Models for Top-N Recommendation.
Evangelia Christakopoulou and George Karypis. KDD, August 19-23, 2018, London, United Kingdom, 2018.
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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.
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Grade Prediction with Course and Student Specific Models.
Agoritsa Polyzou and George Karypis. International Journal of Data Science and Analytics, 2016.
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Fast Parallel Cosine K-Nearest Neighbor Graph Construction.
David Anastasiu and George Karypis. 6th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2016.
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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.
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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.
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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.
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Local Item-Item Models for Top-N Recommendation.
Evangelia Christakopoulou and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.
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Domain-Aware Grade Prediction and Top-N Course Recommendation.
Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.
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