Google, together with the Focus on Women in Computer Science (FoWCS) committee, is hosting a luncheon for women in Computer Science at UBC and you’re invited!
Shauna Eggers, Software Engineer at Google, will give a TechTalk about Google News Personalization with additional time for mingling and Q&A.
Several approaches to collaborative filtering have been studied but seldom have the studies been reported for large (several millions of users and items) and dynamic (the underlying item set is continually changing) settings. In this talk I’ll describe our approach to collaborative filtering for generating personalized recommendations for users of Google News. Our approach is content agnostic and consequently domain independent, making it easily adaptable for other applications and languages with minimal effort. This talk will describe our algorithms and system setup in detail, and report results of running the recommendations engine on Google News.
About Shauna Eggers:
Shauna Eggers has been a software engineer at Google, Inc. since 2007, after attending the University of Washington for an M.A. in Computational Linguistics, and the University of Arizona for a B.S. in Computer Science and a B.A. in Linguistics. At Arizona, she was a researcher in the MIS Artificial Intelligence lab, working on NLP applications for bioinformatics. At Google, she enjoys playing with an even larger and juicier dataset, working on NLP applications for AdWords.
Who’s invited: All Women in Computer Science
What: TechTalk on Google News Personalization, and networking with women engineers at Google
Sign-up to attend:
If you have questions about job opportunities, please email [email protected].
We look forward to meeting you!
Wednesday, September 24, 2008 - 13:00 to 15:00
ICICS X836 (boardroom)
Where: ICICS X836 (boardroom) - 2366 Main Mall, Vancouver, BC, V6T 1Z4