Zooming in on TechFest 2020
Join us for TechFest 2020 by Preferred.AI! Our theme this year is Zooming In. Inside an innovative app is a cool AI algorithm. On...
Recent Posts
Visual Sentiment Analysis: A Need for Context
Previously, we gave our readers a glance at visual sentiment analysis in an earlier blog post. The goal of the task was seeking the...
Neural Topic Modeling for Document Networks with Adjacent-Encoder
Text documents are usually linked to one another. For example, academic papers cite other papers, web pages link to other pages, etc. Most of...
Why maximum likelihood-based training may lead to the generation of unrealistic samples
Generative models specify procedures allowing us to produce data samples, e.g., images, texts, user preferences, etc. These models are central to unsupervised learning, and...
Call for Interns 2020
Preferred.AI is calling for internship applications from current students of SMU to work with us during the summer (May to July 2020) on a...
The Zen of Comparisons
During the teaching appointment at Montana State University, Robert M. Pirsig, the author of “Zen and the Art of Motorcycle Maintenance“, conducted a following...
Gaining Perspective
On 11 September 2019, Andrew successfully passed the defense of his PhD dissertation, entitled “Preference Learning and Similarity Learning Perspectives on Personalized Recommendation”. He...
IJCAI 2019 in Macau, China
In August 2019, Andrew attended the 28th International Joint Conference on Artificial Intelligence (IJCAI-2019). He shares his learning and experience in this blog post....
TechFest 2019
Preferred.AI held a TechFest on Friday 23 August 2019, 3.30pm – 6.30pm to share the recent projects that we’re actively pursuing. Captivating talks based...
Context Matters: Why Aren’t You Leveraging Items’ Context to Boost Your Recommender Model?
Data sparsity is one of the biggest challenges in recommender systems. A promising solution to alleviate this problem is to rely on auxiliary sources...
