What is Time Based Recommendation?

Roshan Dwivedi
2 min readJun 14, 2021

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What is Time Based Recommendation?

Have you noticed, whenever you finish watching a series over Netflix, similar series or movies pop up in your app home page?
Or, after you purchase a specific product on Amazon, similar items appear as suggestions?
In the same way, the binge-worthy series of prime video shows on the top of your list more frequently on weekends?

These all are examples of time based recommendations.

Simply put, the time based recommendations are generated at the most appropriate time for you. Study shows that more than 70% users prefer to have recommendations at the right time. And that’s why time-based recommendation engines are highly sought-after across diverse online platforms.

How Time Based Recommendation Engines are Different from Traditional Recommendation Engines?

Time based recommendation system is not much different from the traditional recommendation system, but more efficient in identifying the requirements of users at the right time and catering to their needs in a timely manner.

While personalized recommendations are inherent for a recommendation engine, time based recommendations require the data related to the maximum user search, watch, or purchase patterns during a specific period of time.

Use Cases of Time Based Recommendation Engine

Time-based recommendation engines are getting adopted in various sectors such as B2B SaaS, e-commerce, OTT, e-learning, job portals, news portals, and others. Some of the top use cases of time based recommendation engine are-

  • Product recommendations based on occasions such as New Year, Christmas, Halloween, Thanksgiving etc.
  • Recommending products based on seasons such as suggesting sweatshirts, jackets, etc. during winter, movies or series on a particular season, and others.
  • Recommending at the most active days for the users such as suggesting trending series on Saturdays or Fridays.

And so on.

Muvi recommendation engine Alie is AI-powered and provides real-time recommendations to your customers. Alie’s advanced machine learning algorithms, scalability, and tailored recommendations make it impeccable for any industry. Additionally, Alie integrates fast with any online platform. Why don’t you try it for free?

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Roshan Dwivedi
Roshan Dwivedi

Written by Roshan Dwivedi

Media Strategist & Video Content Monetization Expert at Muvi.com

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