A web usage mining framework for mining evolving user profiles in dynamic web sites O Nasraoui, M Soliman, E Saka, A Badia, R Germain IEEE transactions on knowledge and data engineering 20 (2), 202-215, 2007 | 286 | 2007 |
On dynamic data clustering and visualization using swarm intelligence E Saka, O Nasraoui 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW …, 2010 | 29 | 2010 |
Simultaneous clustering and visualization of web usage data using swarm-based intelligence E Saka, O Nasraoui 2008 20th IEEE International Conference on Tools with Artificial …, 2008 | 17 | 2008 |
Web usage mining in noisy and ambiguous environments: Exploring the role of concept hierarchies, compression, and robust user profiles O Nasraoui, E Saka Workshop on Web Mining, 82-101, 2006 | 14 | 2006 |
Web recommender system implementations in multiple flavors: Fast and (care) free for all O Nasraoui, Z Zhang, E Saka SIGIR Open Source Information Retrieval workshop, 46-53, 2006 | 13 | 2006 |
Improvements in flock-based collaborative clustering algorithms E Saka, O Nasraoui Computational Intelligence: Collaboration, Fusion and Emergence, 639-672, 2009 | 10 | 2009 |
Chatgpt for conversational recommendation: Refining recommendations by reprompting with feedback KD Spurlock, C Acun, E Saka, O Nasraoui arXiv preprint arXiv:2401.03605, 2024 | 9 | 2024 |
A recommender system based on the collaborative behavior of bird flocks E Saka, O Nasraoui 6th International Conference on Collaborative Computing: Networking …, 2010 | 6 | 2010 |
Proceedings of the seventh International Workshop on Data Mining for Online Advertising (ADKDD 2013): August 11, 2013, Chicago, Illinois, USA E Saka https://dl.acm.org/doi/proceedings/10.1145/2501040, 2013 | 3 | 2013 |
Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization E Saka University of Louisville, 2011 | 2 | 2011 |
ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback K Dylan Spurlock, C Acun, E Saka, O Nasraoui arXiv e-prints, arXiv: 2401.03605, 2024 | | 2024 |
A Journey from Custom Model to AI Builder E Saka, C Bennett, C Wong, F Shahpurwala, G Garapati, R Virk, ... Microsoft Machine Learning, AI & Data Science Conference, 2021 | | 2021 |
A Hybrid Model Framework for Store Spotlight Personalization E Saka, Y Sun, X Qi, S Roy, E Hazan, D Dong, S Azzam Microsoft Machine Learning, Artificial Intelligence, and Data Science Conference, 2018 | | 2018 |
Personalized Xbox Experience K Yang, Y Cai, D Benzatti, SCJ Su, X Vongsathorn, R Shea, E Saka, X Qi, ... Microsoft Machine Learning, Artificial Intelligence, and Data Science Conference, 2017 | | 2017 |
Azure Data Lake Loves R: Machine Learning with U-SQL and R W Guo, E Saka, M Rys Microsoft Machine Learning, AI & Data Science Conference, 2016 | | 2016 |
Improvements in Response Prediction for Display Ads E Saka, L Wu, B Gao, R Yerneni http://blogs.technet.com/b/machinelearning/archive/2015/06/10/the-microsoft …, 2015 | | 2015 |
Response Prediction for Display Ads E Saka, L Wu, R Yerneni, M Joshi, B Gao | | 2014 |
ADKDD'14: Proceedings of the Eighth International Workshop on Data Mining for Online Advertising E Saka, D Shen, K Lee, L Ying https://dl.acm.org/doi/proceedings/10.1145/2648584, 2014 | | 2014 |
ADKDD '12: Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy E Saka, JG Shanahan, T Qin, Y Li, TY Liu, D Shen https://dl.acm.org/doi/proceedings/10.1145/2351356, 2012 | | 2012 |
Knowledge Discovery in Data with selected Java Open Source C Rojas, O Nasraoui, N Durak, L Zuhadar, B Hawwash, S Sellah, Z Zhang, ... Proceedings of the 2008 Workshop on Building Computational Intelligence and …, 2008 | | 2008 |