Search Results for author:
Found 5 papers, 2 papers with code
Convolutional Collaborative Filter Network for Video Based Recommendation Systems
This analysis explores the temporal sequencing of objects in a movie trailer.
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Audience discovery is an important activity at major movie studios.
Collaborative Metric Learning
Metric learning algorithms produce distance metrics that capture the important relationships among data.
Ranked #1 on
Recommendation Systems
on MovieLens 20M
(Recall@100 metric)
Yum-me: A Personalized Nutrient-based Meal Recommender System
We propose Yum-me, a personalized nutrient-based meal recommender system designed to meet individuals' nutritional expectations, dietary restrictions, and fine-grained food preferences.
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
User preference profiling is an important task in modern online social networks (OSN).
