33 citations · 68 across the 4 of their papers we have counts for
4 papers
Convolutional Collaborative Filter Network for Video Based Recommendation Systems
Cheng-Kang Hsieh, Miguel Campo, Abhinav Taliyan +3
This analysis explores the temporal sequencing of objects in a movie trailer. Temporal sequencing of objects in a movie trailer (e.g., a long shot of an object vs intermittent shor…
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Miguel Campo, Cheng-Kang Hsieh, Matt Nickens +5
Audience discovery is an important activity at major movie studios. Deep models that use convolutional networks to extract frame-by-frame features of a movie trailer and represent…
Yum-me: A Personalized Nutrient-based Meal Recommender System
Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang +4
Nutrient-based meal recommendations have the potential to help individuals prevent or manage conditions such as diabetes and obesity. However, learning people's food preferences an…
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
User preference profiling is an important task in modern online social networks (OSN). With the proliferation of image-centric social platforms, such as Pinterest, visual contents…