Publications

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Peer-reviewed Conference Papers:

[C11] Carlos E. Seminario and David C. Wilson. Nuking Item-based Collaborative Recommenders with Power Items and Multiple Targets. In Proceedings of the 29th Florida Artificial Intelligence Research Society Conference, FLAIRS-29. AAAI, May 2016, Key Largo, Florida

[C10] Carlos E. Seminario and David C. Wilson. Nuke `Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders. In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015), September 2015, Vienna, Austria.

[C9] David C. Wilson and Carlos E. Seminario. Mitigating Power User Attacks on a User-based Collaborative Recommender System. In Proceedings of the 28th Florida Artificial Intelligence Research Society Conference, FLAIRS-28. AAAI, May 2015, Hollywood, Florida

[C8] Celine Latulipe, N. Bruce Long, Carlos E. Seminario. Structuring Flipped Classes with Lightweight Teams and Gamification. In Proceedings of ACM SigCSE Technical Symposium on Computer Science Education, March 2015, Kansas City, Missouri. (Won Best Paper Award)

[C7] Carlos E. Seminario and David C. Wilson. Attacking Item-Based Recommender Systems with Power Items. In Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014), October 2014, Silicon Valley, California.

[C6] David C. Wilson and Carlos E. Seminario, Evil Twins: Modeling Power Users in Attacks on Recommender Systems. In Proceedings of the 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014), July 2014, Aalborg, Denmark.

[C5] Carlos E. Seminario and David C. Wilson. Assessing Impacts of a Power User Attack on a Matrix Factorization Collaborative Recommender System. In Proceedings of the 27th Florida Artificial Intelligence Research Society Conference (FLAIRS-27), May 2014, Pensacola Beach, Florida. (Nominated for Best Student Paper Award)

[C4] Carlos E. Seminario. Accuracy and Robustness Impacts of Power User Attacks on Collaborative Recommender Systems. In Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013) Doctoral Symposium, October 2013, Hong Kong, China.

[C3] David C. Wilson and Carlos E. Seminario. When Power Users Attack: Assessing Impacts in Collaborative Recommender Systems. In Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), October 2013, Hong Kong, China.

[C2] Carlos E. Seminario and David C. Wilson. Case Study Evaluation of Mahout as a Recommender Platform. In CEUR Proceedings series for the Workshop on Recommendation Utility Evaluation: Beyond RMSE (RUE 2012), held in conjunction with the 6th ACM Conference on Recommender Systems (RecSys 2012), September 2012, Dublin, Ireland.

[C1] Carlos E. Seminario and David C. Wilson. Robustness and Accuracy Tradeoffs for Recommender Systems Under Attack. In Proceedings of the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25), May 2012, Marco Island, Florida.