Fast and Accurate Personalized Recommendation with Indexing
In a previous blog post, we introduce the problem of top-K recommendation retrieval using Matrix Factorization (MF). We also highlight the importance of indexing structures as a...
Education
A Quest for Fast Personalized Recommendation
Personalized recommender systems attempt to generate a limited number of item options (e.g., products on Amazon, movies on Netflix, or videos on Youtube, etc.)...
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...
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...
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...
Introduction to CSVPL
Here in Preferred.AI, much of our work involves processing and manipulating data. We regularly find ourselves wanting to explore a given dataset quickly and...
The Best Web Scraper for You: A Guide to Understanding Crawlers
In this age where new content is generated on the Web every second, it is only natural that we find ways to harness them....
Crash Course on Data Science Pipeline
Building on the success of the premiere of Preferred.AI-designed enrichment course on Web Data Extraction & Regression Analysis Using Java, we staged another run...
Look at That Facial Expression!
Upon the invitation from NUS High School of Mathematics and Science, Tuan and Hady interacted with a group of 24 eager and precocious students...
Enrichment Course on Web Data Extraction and Regression Analysis
Fired with an educational zeal, Preferred.AI conducted a 5-day (Oct 3-8 2018) enrichment course on Web Data Extraction and Regression Analysis, which was organized...
KDD.SG Tutorial on Image Classification Using CNN (Materials)
Our appreciation to KDD.SG (Singapore Chapter of SIGKDD) and DSSG (DataScience Singapore) for jointly organizing and inviting us to deliver a public tutorial on...