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Recommendation Engine - Latest updates on Recommendation Engine

Importance of Quality Products over Quantity in a Recommendation Engine 31 May 2021

  We all are aware of the fact that the Recommendation Engine has taken the world by storm. As customers, we are sometimes not even familiar with the recommendations/suggestions we get while using some website or mobile application. We cannot blame it because, more often than not, we are on a website, but we don’t …

How Recommendations are Done in Audio Streaming Platforms 26 May 2021

  We are all aware of the fact that almost all the industries today are now data-driven. The Audio streaming industry, which more often than not is considered to be soul-driven, also uses recommendation engines to provide utmost pleasure to their customers. Let us understand how it is done.    What is a Recommendation Engine? …

How to Scale your Recommendation Engine 24 May 2021

  There are many people who start a business, but only those are called successful entrepreneurs who are able to expand their businesses. In the digital world, everyone knows that growing their business also means scaling your recommendation engine. There has been a lot of debate on how to scale a recommendation engine. Scalability is …

Why Your OTT Platform Needs a Recommendation Engine? 24 May 2021

  The recommendation engine has become quite popular across diverse industries in the recent years. Starting from OTT (Over the Top) platforms to e-commmerce stores, the recommendation engine is gaining rapid traction. Whether you have just started your OTT platform or have plan to scale it up, recommendation engines can improve your profitability significantly. A …

Product Recommendation to Improve the UX of Your OTT Store 21 May 2021

  The Recommendation engines are being used increasingly across the various industries and the OTT (Over-the-Top) industry is one of them. While its main purpose is recommending the most relevant content to the users, it can also help in improving the UX of your OTT store . The UX or user experience can be defined …

How Recommendation Engine Helps You Scale Up Your Business? 20 May 2021

  A recommendation system or recommendation engine uses different algorithms to filter various data related to the user preferences, products, and others, and recommends the most relevant products and services to the users. Nowadays, almost all the leading online businesses use recommendation engines to keep the user engagement rate high and improve the user experience. …

How to Acquire Subscribers for Your OTT Platform? 17 May 2021

  Customer acquisition is the process of gaining new customers for your business or converting the existing prospects into new customers. If you own an OTT (Over-the-Top) platform and want to improve your customer acquisition rate, then read on.  The OTT industry has gained momentum over the past years with the rising number of OTT …

How does a Recommendation Engine Use Predictive Analysis? 30 April 2021

  The recommendation engine has become widely popular in the recent years owing to its unlimited benefits across diverse B2B SaaS businesses. A recommendation engine with predictive analysis can predict which type of products or services customers will be interested in, based on their historical data. This is no less than a blessing to increase …

How to Avoid Subscription Churn? 23 April 2021

  Subscription churn is the rate at which a subscription company loses its subscribers. Starting from small to the leading OTT platforms, subscription churn happens to almost all digital service providers- more or less! A recent statistics says that the U.S. companies lose over US$ 135 Billion per year on an average due to the …

Time-based Recommendation behind Faster User Conversion: Report of Muvi Recommendation Engine Out 26 February 2019

Have you ever wondered, why the binge-worthy series of Netflix or Prime Video shows on the top of your app homepage on Fridays or even Saturdays, but rarely on weekdays? Or how the bag you have been checking out online for a long time and waiting for the price to come down, just shows up …

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