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

Tiktok captivates the world with its extensive video recommendation algorithm. Photo by Hello I'm Nik 🎞 on Unsplash.

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 (or unpopular) items, rather they are calculated prediction made by extensive algorithms that compute massive information behind the screen. Online webpages and retailers rely on recommendation algorithms to provide relevant suggestions to users, hopefully, getting them to buy their products or subscribe to their content. But how exactly do they…


A personal anecdote on Lady Gaga’s “Chromatica”

House and Trance have influenced many of the pop music today. Photo by Aditya Chinchure on Unsplash.

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. It is a contrast to the concert in the 80’s and 90’s, where a concert experience encompassed an extended prolonged musical act, such as the long instrumental interludes of Pink Floyd’s “Shine on You Crazy Diamond.” Unlike the past, the musical trend has changed tremendously. While the current experience brings…


Forecast Growth or Loss of Net Sales

Many businesses are negatively effected from the Covid-19 pandemic. Photo by Anastasiia Chepinska on Unsplash.


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 than now — the current Covid-19 pandemic (as this article was written) sheds lights upon uncertainties to many businesses and retailers. Sales growth and sustenance during this time that can only be described as ­­­uncertain. Are we heading to recession or temporary depression? Nothing is ever certain, but we can…


A Hands-On Example Using Python TensorRec Module

Consumer retail industry is huge, high-turnover, small margin, yet full of opportunity. Photo by Markus Spiske on Unsplash.


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 the most high-impact products of ML. E-commerce has benefited a lot from machine learning prediction in improving business operation and increasing sales return. Recommendation System, which uses ML algorithm, has seemed to be an integral part of any retailers, e-commerce sellers, and merchandisers not only due to its simplicity but…

Taufik Azri

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

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