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Towards Companion Recommendation Systems
Konstantina Christakopoulou · Yuyan Wang · Ed Chi · MINMIN CHEN

@
in HCAI@NeurIPS 2022, Human Centered AI »
Event URL: https://openreview.net/forum?id=442NvOBfncn »

Recommendation systems can be seen as one of the first successful paradigms of true human-AI collaboration. That is, the AI identifies what the user might want and provide this to them at the right time; and the user, implicitly or explicitly, gives feedback of whether they value said recommendations. However, to make the recommender a \emph{true companion} of users, amplifying and augmenting the capabilities of users to be more knowledgeable, healthy, and happy, requires a shift into the way this collaboration happens. In this position paper, we argue for an increasing focus into reflecting the user values into the design, evaluation, training objectives, and interaction paradigm of state-of-the-art recommendation.

Keywords: human-ai collaboration · recommendation systems · user satisfaction · user journeys · companion
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Author Information

Konstantina Christakopoulou
Yuyan Wang (Google Brain)
Ed Chi (Google Inc.)

d H. Chi is a Principal Scientist at Google, leading several machine learning research teams focusing on neural modeling, inclusive ML, reinforcement learning, and recommendation systems in Google Brain team. He has delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >325 product launches in the last 6 years. With 39 patents and over 120 research articles, he is also known for research on user behavior in web and social media. Prior to Google, he was the Area Manager and a Principal Scientist at Palo Alto Research Center's Augmented Social Cognition Group, where he led the team in understanding how social systems help groups of people to remember, think and reason. Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Recognized as an ACM Distinguished Scientist and elected into the CHI Academy, he recently received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. An avid swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.

MINMIN CHEN (Google)

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