Recommendation Engine

Take advantage of TensorFlow 2.0's new flexible library to deploy a recommendation engine on retail dataset.

Retail data has grown exponentially over these past few years. Even more so, Covid-19 has shifted massive number of transactions from offline to online. With an increase of data integration among mobile applications, notably of social media, companies have gained more insight into consumer’s activity, behavior, sentiment, and preference. How…

Hello Kuba, thank you so much for your comment. I agree, my motivation to write this article stems from TF's ambiguous tutorial itself, plus they only use MovieLens dataset as an example. I am still working to retrieve prediction from ranking step, hence I will let you know once I'm done with it. Cheers!

RECOMMENDATION SYSTEM

Understanding the basic technique to calculate user-based and item-based recommendation

Recommendations are pervasive in consumer online system, more pervasive than ever during digital age of today. As we read news in Facebook, buy products in Amazon, search for accommodation in Airbnb, or look for interesting profiles in Instagram, every suggestions we received are not a mere sorted piles of popular…

MUSIC

A personal anecdote on Lady Gaga’s “Chromatica”

The tension is high, the intensity is immense, and the emotion is gargantuan. The heart cannot suppress the excitement any longer, but finally, when the DJ hits the bass, the drop lands. He releases the smoke and the crowds go wild — that is the experience of a music festival…

TIME SERIES FORECASTING

Forecast Growth or Loss of Net Sales

INTRODUCTION

Forecasting is one of the most profound economic, business, and financial analysis, yet it barely receives the same height and attention as other niche in data analytics, partly due to its tedious, complex, and complicated procedures. Open-sourced automation remains a rarity, if not non-existent. But nowhere forecasting is more important…

RECOMMENDATION ENGINE

A Hands-On Example Using Python TensorRec Module

Overview

Recommendation system is increasing in popularity — every data analyst, data scientist, and data engineer in retails and consumer-related business, whether in e-commerce or traditional offline business will come across this inevitable and important applications of Machine Learning. Perhaps it is not an exaggeration to acclaim it as one of…

Taufik Azri

Data Scientist with interests in applicable solutions in retail and consumer industry.

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