- Deep Learning Recommendation Models (DLRM): A Deep Dive - Apr 9, 2021.
The currency in the 21st century is no longer just data. It's the attention of people. This deep dive article presents the architecture and deployment issues experienced with the deep learning recommendation model, DLRM, which was open-sourced by Facebook in March 2019.
Deep Learning, Recommendations, Recommender Systems
- Recommendation System Algorithms: An Overview - Aug 22, 2017.
This post presents an overview of the main existing recommendation system algorithms, in order for data scientists to choose the best one according a business’s limitations and requirements.
Algorithms, Recommendations, Recommender Systems, Statsbot
- Does Machine Learning allow opposites to attract? - Feb 11, 2016.
Most online dating sites use 'Netflix-style' recommendations which match people based on their shared interests and likes. What about those matches that work so well because people are so different - here is my example.
Love, Machine Learning, Online Dating, Recommendations
- More Data Science Humor and Cartoons - Dec 23, 2015.
More humor and cartoons from Andrii aka San Sanych, #HappyDataScientist.
Cartoon, Humor, Recommendations
- How Data Science increased the profitability of the e-commerce industry? - Nov 3, 2015.
Data Science helps businesses provide a richer understanding of the customers by capturing and integrating the information on customers web behaviour, their life events, what led to the purchase of a product or service, how customers interact with different channels, and more.
Pages: 1 2
Data Science, DeZyre, Ecommerce, Recommendations
- How Big Data is used in Recommendation Systems to change our lives - Oct 30, 2015.
A Recommendation systems have impacted or even redefined our lives in many ways. It works in well-defined, logical phases which are data collection, ratings, and filtering.
Pages: 1 2 3
Amazon, Big Data, Kaushik Pal, Recommendations, Recommender Systems
- Interview: Brad Klingenberg, StitchFix on Building Analytics-powered Personal Stylist - Mar 20, 2015.
We discuss StitchFix, how it leverages Analytics, understanding customer preferences, and pros-and-cons of involving human judgement in the recommendation process.
Analytics, Brad Klingenberg, Customer Experience, Recommendations, Stitch Fix
- Interview: Kirk Borne, Data Scientist, GMU on Big Data in Astrophysics and Correlation vs. Causality - May 30, 2014.
We discuss how to build the best data models, significance of correlation and causality in Predictive Analytics, and impact of Big Data on Astrophysics.
Correlation, Interview, Kirk D. Borne, Predictive Analytics, Recommendations
