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Recommendation Engines - Latest updates on Recommendation Engines

Build vs Buy – AI based Recommendation Engine 17 September 2021

  According to Industry Arc, the market size for recommendation engines is estimated to reach 12.03 billion dollars in 2025. What’s more interesting is the fact that this number used to be only 1.14 billion dollars in 2018. IndustryArc, in its report on Recommendation Engine Market, said that the above mentioned growth is mainly driven …

Role of recommendation engine in personalizing the streaming experience 16 August 2021

  Today, viewers have complete freedom to watch the latest movies and listen to their favorite music on preferred devices – Smartphones, Computers, Tablets, or Connected TVs, every time and everywhere. But back in 2005, when the premium movies & TV content were made available online for the first time, no one ever imagined that …

How to Recommend Content Like Netflix with Alie? 16 August 2021

  Unless you live under a rock, you already know Netflix is the most valued and sought after video streaming platform globally. The digital OTT landscape will forever owe to the streaming giant for cracking the secret to viewer engagement, viewing habits, patterns, and has inspired hundreds of companies to delve into the power of …

Boost Revenue of your Online Food Delivery App with Recommendation Engine 16 August 2021

  Be it hectic work-life schedules, preferred past time activity or for any celebration, online food ordering apps are now the ”Go-to” for almost every individual.  They don’t have to make the same conventional choice of meals from regular restaurants. Rather, they can order from a wide range of food varieties that are delivered at …

Recommendation Engine: Why should you consider it for your online business? 16 August 2021

  Apart from buying what they want, customers shop products that are recommended by friends and close ones to a great extent. As there is a trust factor involved, their choices are influenced by what people around them buy. Relatable? Clearly buying behavior is influenced by recommendations. And your online business is not an exception …

How Can You Use a Recommendation Engine to Deliver Personalized Experience? 16 July 2021

  The need to cope with ongoing trends in the market has led people to watch and buy products that their friends might like. Alie has taken this into account and built an algorithm named ‘other user’s choice.’ This algorithm analyzes the behavior of users, their likes and dislikes, and the products that they buy. …

How AI-based recommendation system is transforming e-learning 28 June 2021

  Did you know that the e-learning industry crossed over 250 billion USD in 2020? According to the data from Global Market Insights, the e-learning market saw a considerable profit during the pandemic and will continue to grow. Two of the significant factors that helped in their growth are the Covid-19 pandemic and recommendation system. …

Book Recommendation Engine: How to Help Your Customers Pick the Right One for Them? 22 June 2021

  Though this may be a common practice, what actually works behind the scenes to serve such recommendations online is a book recommendation engine.  Be it any product or service, before making any purchase, customers generally tend to ask friends for their recommendations. And when it comes to buying books online, it’s an obvious thing …

Is Your Online Beauty and Cosmetics Store Recommending the Right Products? 17 June 2021

  Beauty is always personal! Just as no two women or men are alike, the beauty industry can’t really make profits without paying attention to customization and individual expression. If you look closely at the way big beauty brands strategize their offerings, there is a constant effort for innovation and bringing new and relatable products …

Everything you Need to Know About Recommender Systems 14 June 2021

  A few months ago, Netflix estimated that its recommendation engine is worth nearly $1 billion!  This is because Netflix’s terrific AI-driven recommendation engine accounts for more than 80% of the TV shows discovered on the platform. Netflix uses its recommendation system to bank on customer retention, its biggest ROI being the regular flow of …

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