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Publications
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Book Chapters and Journals:
- Scalability and Distribution of Collaborative Recommenders
Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David Anastasiu and George Karypis
Collaborative Recommendations: Algorithms, Practical Challenges and Applications, World Scientific Publishing, 2018
(pdf)
- Big Data and Recommender Systems
David C. Anastasiu, Evangelia Christakopoulou, Shaden Smith, Mohit Sharma &
George Karypis
Novática: Journal of the Spanish Computer Scientist Association, 2016
(pdf)
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Conference Publications:
- Using the Error for Top-N Recommendation
Evangelia Christakopoulou and George Karypis
- Local Latent Space Models for Top-N Recommendation
Evangelia Christakopoulou and George Karypis
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018
(pdf)(code)
- Local Item-Item Models for Top-N Recommendation
Evangelia Christakopoulou and George Karypis
ACM Conference on Recommender Systems (RecSys), 2016
(pdf) (code)
Best paper award.
- Identifying Decision Makers from Professional Social Networks
Shipeng Yu, Evangelia Christakopoulou and Abhishek Gupta
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016
(pdf)
- Moving beyond Linearity and Independence in Top-N Recommender Systems
Evangelia Christakopoulou
ACM Conference on Recommender Systems (RecSys), 2014
(pdf)
- HOSLIM: Higher-Order Sparse Linear Method for Top-N Recommender Systems
Evangelia Christakopoulou and George Karypis
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2014
(pdf)
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PhD Thesis:
- Improving the quality of top-N recommendation
Evangelia Christakopoulou and George Karypis
University of Minnesota, Twin Cities, 2018
(pdf)
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