יעל אמסטרדמר (אונ' בן-גוריון)
יום רביעי, 18.1.2017, 11:30
Crowd Mining is concerned with identifying significant patterns in the knowledge of the crowd, capturing, e.g., habits and preferences, by posing internet users with targeted questions. To account for jointly processing the crowd answers and available knowledge bases, and for user interaction and optimization issues, crowd mining frameworks must employ complex reasoning, automatic crowd task generation and crowd member selection. In this talk I will present the unique challenges in the crowd mining setting, and describe our solution in the form of an end-to-end system.
Dr. Yael Amsterdamer is a senior lecturer at the Department of Computer Science, Bar-Ilan University. Her research interests include the management of data obtained via Web-based platforms, such as crowdsourced data, online knowledge bases and social networks. Previously, Yael has been a visiting scholar of the Computer and Information Science Department at UPenn (Philadelphia, PA), and at the INRIA institute (Paris, France). She received her PhD from Tel Aviv University under the supervision of Prof. Tova Milo. In 2016 Yael received the Alon Fellowship for Outstanding Young Researchers. During her PhD, she won the Wolf Foundation Scholarship and the Dan David Prize for outstanding PhD students.