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Role of Recommendation Engine in the e-library

kritika Published on : 06 December 2021
Role of Recommendation Engine in the e-library


The authenticity of the library and the beautiful essence of opening a book is magic. Those who often visit the library and own one understand this and might not be comfortable with the idea of an e-library. However, this particular set of people will benefit if more e-libraries were to exist. Let us explain this by giving two scenarios, one for an avid reader – customer, and one for the owner of the library.


Avid Reader/Customer – John is a person who loves to read books. His daily routine includes traveling by bus while reading for two hours. Sometimes, he forgets his book and has to spend the entire journey looking outside the window or at the faces of people. Here’s when the e-library enters. Now, imagine John has a subscription to any e-library. He can read any book whenever he wants to. He doesn’t have to carry a book everywhere, just his phone ( which everybody does in the 21st century).  


Owner of Store Library – Consider the situation of John only. If John is a customer of your store library, but he often gets busy with his work and can’t come to the store to buy or issue a new book, this will affect your revenue. Now imagine if John can access your books from anywhere, anytime, wouldn’t it help in increasing your total revenue? Not only that, people like John, who loves to read, can enjoy books in a more convenient manner. 


Looking at the above scenario, is it not safe to say that e-library is a win-win situation for everyone? According to a research paper written by Lancaster University, e-library is the future for books lovers as well as students. However, transferring a whole industry into an online industry comes with its own challenges. In this scenario, the biggest challenge is always to tackle the abundance of data. But as employed by other industries such as news industries and e-commerce, a recommendation engine is the best solution




What is a Recommendation Engine?

Recommendation Engine is a system that analyzes the behavior of users on a website and recommends them products based on their interest and taste. It also clusters users and products in different groups, and based on the algorithm it is trained, it picks up relevant products. 


How does the Recommendation Engine help in Tackling the Problem of Data Abundance?

When there’s a lot of data, it is always hard to find the file you are looking for in the data. In an e-library, there can be thousands and thousands of books. Will a reader have enough time to go through every book before finalizing one? No. Will a reader have enough patience to go through every book? Absolutely no. Will this ‘extra search’ serve the purpose of e-library? No. A recommendation engine can be the answer to every question here. As mentioned above, recommendation engines cluster the users and products, in this scenario, books. It performs all the permutations and combinations and then comes up with the relevant list of recommendations. 


So, when a user comes on the website, a list is ready for them, and they can simply choose from the list. Now, you may wonder what about first-time visitors. Well, for them there can be lists such as ‘Top read books,’ ‘Top Genre’ and so on. In a nutshell, it is always better to integrate a recommendation engine with your platform to give your customer what they need. 



E-library is as good an idea as it was for e-commerce. The owners have to identify the scope of growth, especially in the sense of revenue, and shift to online mode. However, starting a business with no proper aid can lead you downhill, so better to use a recommendation engine from the start to attract customers. A recommendation engine can also give a personalized homepage to your customers, which they will surely enjoy. Explore what is a recommendation engine, and see for yourself by trying the free trial of different products. Start with Alie – an AI-based recommendation engine. Take its 14-day free trial now. 


Written by: kritika

Kritika Verma is an Associate Content Writer and works with Muvi Marketing Team. She is an inbound marketing professional and ensures high-quality traffic on the Muvi website through her blogs, articles, and more. She has an engineering background but always had a knack for writing. In her free time, she is either on Quora or on (Mostly losing).

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