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"Recommender Systems: Beyond Machine Learning" with Joseph Konstan
Recommender systems help users find items of interest and help websites and marketers select items to promote. Today's recommender systems incorporate sophisticated technology to model user preferences, model item properties, and leverage the experiences of a large community of users in the service of better recommendations. Yet all too often better recommendations—at least by traditional measures of accuracy and precision—fail to meet the goal of improving user experience. This talk will take a look at successes and failures in moving beyond basic machine learning approaches to recommender systems to emphasize factors tied to user behavior and experience. Along the way, we will explore approaches to combining human-centered evaluation with data mining and machine learning techniques.
ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM TechTalks, free for members and non-members alike.
Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.
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Please Note: This event has been postponed until further notice.
Register now for the next ACM TechTalk, "PyTorch: A Modern Library for Machine Learning," presented on Thursday, November 21 by Adam Paszke, co-author and maintainer of PyTorch. Erik Meijer, Director of Engineering at Facebook, Founder and CEO of Applied Duality, and member of the ACM Queue Editorial Board, will moderate the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.
View the most recent ACM TechTalk, "Rust: In It for the Long Haul," presented on Friday, November 1 by Carol Nichols, co-author of The Rust Programming Language book and co-founder of Integer 32, the world’s first Rust-focused consultancy. Jake Goulding, co-founder of Integer 32 and member of the Rust Infrastructure Team, moderated the Q&A. Continue the discussion on ACM's Discourse Page.