Jun Ma (College of Computer Science & Technology of Shandong University) will present recent research by himself and his team on recommendation systems for smart TV. Wednesday October 5, 16.00hrs, Room G5.29. Continue reading
ILPS-er Julia Kiseleva recently gave a TedX talk on “Emphatic devices”. You can relive the talk on Youtube at https://www.youtube.com/watch?v=M-KMIT6ksZw.
The next edition of the Amsterdam Data Science Coffee & Data meetup will be devoted to personalization & recommendation. Speakers include Natali Helberger, Julia Kiseleva, Xinyi Li, and Anne Schuth. June 10, 9-11, Oude Manhuispoort 4-6, Room C0.17. Signup at Meetup
Two more talks are coming up for this month. The usual recipe: one industry speaker, one academic speaker and drinks afterwards. The industry talk will be given by Erik Groeneveld from Seecr and the academic talk will be given by ILPS-er Masrour Zoghi. The titles and abstracts of the talks will be announced soon. Continue reading
Two more talks are coming up for this month: one industry speaker and one academic speaker, drinks afterwards. The industry talk will be given by Damien Lefortier from Criteo. Marcel Worring will give the academic talk. He will talk about multimedia search/representation/visualization. Continue reading
On Friday October 16, 16:00-17:00, Emine Yilmaz (University College London, Microsoft Research Cambridge) will give a talk entitled “Task-based Information Retrieval”. Abstract: The need for search often arises from a person’s need to achieve a goal, or a task such as booking travels, organizing a wedding, buying a house, investing in the stock market, etc. Since current search engines focus on retrieving documents relevant to the query submitted as opposed to Continue reading
On Friday 18 September 2015, 14:00-15:00, room C1.112, Hylke Buisman (Google, Zurich, Switzerland) will give a talk entitled “Natural Language Understanding with the Knowledge Graph”. Abstract: In this talk I will give an overview of the work at Google on Natural Language Understanding using Google’s Knowledge Graph. Continue reading