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Esin Saka
Esin Saka
Applied Researcher / Applied and Data Scientist / Senior Software Engineer, Microsoft Corporation
在 microsoft.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2862007
On dynamic data clustering and visualization using swarm intelligence
E Saka, O Nasraoui
2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW …, 2010
292010
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
172008
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
142006
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
132006
Improvements in flock-based collaborative clustering algorithms
E Saka, O Nasraoui
Computational Intelligence: Collaboration, Fusion and Emergence, 639-672, 2009
102009
Chatgpt for conversational recommendation: Refining recommendations by reprompting with feedback
KD Spurlock, C Acun, E Saka, O Nasraoui
arXiv preprint arXiv:2401.03605, 2024
92024
A recommender system based on the collaborative behavior of bird flocks
E Saka, O Nasraoui
6th International Conference on Collaborative Computing: Networking …, 2010
62010
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
32013
Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization
E Saka
University of Louisville, 2011
22011
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
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