It was a gee-whiz innovation, a concept that would later help thousands of companies earn more money, but to John Riedl, it held a different kind of promise: Making people's lives a little better.
Riedl, a computer scientist and University of Minnesota professor, helped create the field of recommender systems, which allow computers to predict what products or articles someone might enjoy based on other people's preferences. Think Netflix. He later became an expert in social computing and systems that rely on users' contributions. Think Wikipedia.
The McKnight Distinguished Professor, passionate thinker and dedicated dad died July 15, three years after being diagnosed with melanoma. He was 51.
"He had an incredible career," said Joseph Konstan, a University of Minnesota professor who worked with Riedl for two decades. "But he was also a first-rate role model and mentor whom I think we all looked to on issues like work-life balance and how to handle adversity."
Riedl was born in Evanston, Ill., and grew up in Ohio, where his dad was a mathematics professor and later an administrator at Ohio State University.
He met his wife, Maureen, while studying at the University of Notre Dame, in the dorm she shared with his sister. He was bright, funny, intensely "interested in everything," she said. "When he looked at you, you felt like you were the most important person in the world."
Riedl's career took off in the early 1990s, with the publication of a paper, cowritten with Paul Resnick, on recommender systems — complicated computations that make use of like-minded people's opinions on films, restaurants and products.
Riedl believed in recommendations, Maureen Riedl said. "I don't think we bought a brand of dishwashing soap without checking reviews."