no code implementations • 18 Oct 2018 • Cheng-Kang Hsieh, Miguel Campo, Abhinav Taliyan, Matt Nickens, Mitkumar Pandya, JJ Espinoza
This analysis explores the temporal sequencing of objects in a movie trailer.
no code implementations • 12 Jul 2018 • Miguel Campo, Cheng-Kang Hsieh, Matt Nickens, JJ Espinoza, Abhinav Taliyan, Julie Rieger, Jean Ho, Bettina Sherick
Audience discovery is an important activity at major movie studios.
2 code implementations • WWW 2017 • Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, Deborah Estrin
Metric learning algorithms produce distance metrics that capture the important relationships among data.
Ranked #1 on Recommendation Systems on MovieLens 20M (Recall@100 metric)
2 code implementations • 25 May 2016 • Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin
We propose Yum-me, a personalized nutrient-based meal recommender system designed to meet individuals' nutritional expectations, dietary restrictions, and fine-grained food preferences.
no code implementations • 21 Dec 2015 • Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
User preference profiling is an important task in modern online social networks (OSN).