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...
Data sparsity is one of the biggest challenges in recommender systems. A promising solution to alleviate this problem is to rely on auxiliary sources...
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...
In this age where new content is generated on the Web every second, it is only natural that we find ways to harness them....
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...
Upon the invitation from NUS High School of Mathematics and Science, Tuan and Hady interacted with a group of 24 eager and precocious students...
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...
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...