Michael Bendersky is a researcher affiliated with Google in the United States, with a primary focus on computer science. Their body of work spans 127 publications, chiefly centered in the field of Artificial Intelligence, where they have contributed 92 papers. Additional subfields of their research include Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Information Systems and Management.
Their research covers several main topics including Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Text Analysis Techniques, Text and Document Classification Technologies, and Recommender Systems and Techniques.
Michael Bendersky's published work is frequently found in venues such as:
Selected recent papers illustrate the scope and thematic focus of their research. These include:
Frequent collaborators include Xuanhui Wang, Marc Najork, Honglei Zhuang, Rolf Jagerman, and Jiaming Shen, reflecting a pattern of ongoing partnerships in their research projects.
Michael Bendersky;W. Bruce Croft
Xuanhui Wang;Michael Bendersky;Donald Metzler;Marc Najork
Xuanhui Wang;Nadav Golbandi;Michael Bendersky;Donald Metzler
Michael Bendersky;Donald Metzler;W. Bruce Croft
Michael Bendersky;W. Bruce Croft;Yanlei Diao
Manish Gupta;Michael Bendersky
Michael Bendersky;W. Bruce Croft
Michael Bendersky;Donald Metzler;W. Bruce Croft
Xuanhui Wang;Cheng Li;Nadav Golbandi;Michael Bendersky
Michael Bendersky;Donald Metzler;W. Bruce Croft
Krishna Srinivasan;Karthik Raman;Jiecao Chen;Michael Bendersky
Rama Kumar Pasumarthi;Sebastian Bruch;Xuanhui Wang;Cheng Li
Qingyao Ai;Xuanhui Wang;Sebastian Bruch;Nadav Golbandi
Michael Bendersky;W. Bruce Croft
Jyun-Yu Jiang;Mingyang Zhang;Cheng Li;Michael Bendersky
Unknown
Michael Bendersky;W. Bruce Croft
Unknown
Sebastian Bruch;Xuanhui Wang;Michael Bendersky;Marc Najork
Van Dang;Michael Bendersky;W. Bruce Croft
Sebastian Bruch;Masrour Zoghi;Michael Bendersky;Marc Najork
Liu Yang;Mingyang Zhang;Cheng Li;Michael Bendersky
Aman Agarwal;Xuanhui Wang;Cheng Li;Michael Bendersky
Shuguang Han;Xuanhui Wang;Mike Bendersky;Marc Najork
Rama Kumar Pasumarthi;Sebastian Bruch;Xuanhui Wang;Cheng Li
Liu Yang;Mingyang Zhang;Cheng Li;Michael Bendersky
If you think any of the details on this page are incorrect, let us know.
Exploring a future in Computer Science opens the door to a variety of online degree options and career pathways. Many students start with online associate degree programs, which offer foundational knowledge and can be completed quickly. These are a great way to enter the tech field with minimal investment.
If you're looking to strengthen your credentials, pursuing one of the what masters program should i do can be highly beneficial. Carefully selected master’s programs in Computer Science or related fields are in high demand and can lead to broader career options.
For those in a hurry, consider the shortest master degree programs available online. Fast-tracked programs let you earn a recognized qualification in less time, helping you enter or advance in the workforce more quickly.
Additionally, earning certifications that pay well can further boost your earning potential, even if you don’t plan to pursue a full degree. Exploring these pathways ensures a flexible, rewarding career in the ever-evolving tech industry.
Institut National de la Recherche Scientifique
National Institute of Advanced Industrial Science and Technology
Yale University
Brigham and Women's Hospital
Google (United States)
Arizona State University
University of California, Berkeley
Rutgers, The State University of New Jersey
University of California, Santa Barbara
Anna University, Chennai
University of California, San Diego
University of Tehran
Center for Global Development
Seoul National University Hospital
University College London
Agroscope
