Building a Better Recommendation System: Recommending Jobs to College Students
jeu. 27 septembre à 00:30
Please sign-in on the form at the event. Metis and Dataiku join to host two talks on user-focused data science and building a more comprehensive view of what individuals really want. In this talk, Harlan Harris, Director of Data Science at WayUp, discusses how constraints from the business model and site design are reflected in the design of WayUp's job recommendations system. He will then dive into one sub-component of the system -- the algorithms used to identify job listings that are similar to listings that a user previously interacted with. On text such as job listings, naive similarity approaches can be problematic, and lead to poor recommendations. Instead, they use historical data and a custom similarity function to identify listings that returning users will find most compelling. Harlan D. Harris has a PhD in Computer Science/Machine Learning from the University of Illinois, and worked as a Cognitive Psychology researcher before turning to industry. He is currently Director of Data Science at WayUp, and has previously worked at Kaplan Test Prep, The Advisory Board Company, and several startups. Harlan co-founded the Data Science DC Meetup and Data Community DC, and co-wrote Analyzing the Analyzers, a short O'Reilly book about the variety of data scientists. Please follow @harlanh on Twitter and Medium. Schedule:
6:30pm - 7:00pm Networking
7:00pm - 8:30pm Talk
8:30pm - 9:00pm Networking About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.
Nous avons temporairement désactivé la possibilité de naviguer vers les tags.