Please wait while we enable your Account

0%

Contacting Amazon Web Services
Deploying Cloud Servers, Storage, Transcoding & Database Servers
Deploying Global CDN
Deploying Firewall & Enabling Security Measures
Deploying the CMS & Admin Module
Deploying Website, Mobile & TV Apps framework
Creating your FTP account
Finishing up all the modules
Preparing for launch

Challenges of Using a Recommendation System

kritika Published on : 16 August 2021
Challenges of using a Recommendation System

 

The importance of a recommendation system has increased over the years and will continue owing to its various features. A recommendation system can help you improve your revenue by suggesting the customer a perfect product or service; it can also help a business in marketing campaigns and track their customers. Needless to say, a recommendation system has smoothly become a part of the majority of digital stores and the SaaS industry. However, there are a few challenges that come along with a recommendation system, which are –

 

Lack of User Activity

A recommendation system majorly depends on the activities performed by multiple users. It studies different users’ behavior and then lists the products or services according to their activity and feedback. However, if many users buy the same product but do not leave any feedback or ratings, it becomes difficult for the recommendation system to recommend that particular product. 

 

Alie

 

Lack of Data

The availability of abundant data is what a recommendation system needs. It can only recommend a product to a user when it has enough information about a user’s past activity and preferences. But when a new business appoints a recommendation system, user data is usually low. So, a recommendation system fails to give a recommendation. Even if it does, the chances are that it will not be as effective because it doesn’t have enough data to learn the user behavior. 

 

New Item Introduction

When a new item is introduced on a website that is already using a recommendation system, it will not recommend it until and unless a user buys it. This shelves down the possibility of a good product coming into the limelight. 

 

Scalability

When a business decides to expand its market, it will want to scale its recommendation system. However, some recommendation systems are too rigid with their algorithms, and to achieve what the business desires, they will have to build or buy a new recommendation system. The only possible solution to this problem is to buy a recommendation system that supports scalability.

 

Changing Trends 

We all know-how in a blink of an eye, trends can change. One day it could be blue jeans that are trending, and one day suddenly, there is a trend of cargo pants. A recommendation system is accustomed to such a quick change in trend. 

 

Wrapping Up

Like any other product, even a recommendation engine has its pros and cons. But what’s important is that most of its challenges can be tackled by thinking wisely while investing in a recommendation system. Such as the above-mentioned challenges of scalability and new item introduction can be avoided if use Alie. It provides you the flexibility to scale your recommendation system when you want, and you can yourself add parameters and filters to it, like ‘Newly added Item.’ 

 

Try the 14-day free trial of Alie to know more about the recommendation engine, challenges, and solutions. 

 

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 chess.com (Mostly losing).

Add your comment

Leave a Reply

Your email address will not be published.

Try Alie free for 14 days

No Credit Card Required

Upcoming Webinar
December 07

8:00AM PST

The Evolution of Streaming: Past, Present & Future with Muvi

Let’s uncover the past, navigate the present, and chart the course for what’s next in the dynamic world of streaming! In this webinar, we’ll embark on a journey through the dynamic landscape of streaming, exploring its roots, current state, and the exciting innovations shaping its future, all while uncovering the role of Muvi in this transformative journey.

Things the webinar will cover:

  1. Introduction to Streaming’s Origins:
    • Tracing the beginnings of streaming technology.
    • Milestones and key developments that laid the foundation.
  2. Current Streaming Landscape:
    • Overview of the current streaming ecosystem.
    • Market trends, consumer behavior, and the impact of global events.
  3. Muvi’s Contribution to Streaming:
    • How Muvi has played a pivotal role in the evolution of streaming.
    • Case studies and success stories highlighting Muvi’s impact.
  4. Technological Advancements:
    • Exploring cutting-edge technologies influencing streaming.
    • Muvi’s role in integrating and harnessing these advancements.
  5. Content Delivery Strategies:
    • Diversification in content types and formats.
    • Muvi’s solutions for optimizing content delivery.
  6. Monetization Models:
    • Examining varied revenue streams in streaming.
    • Muvi’s tools for effective monetization and subscription management.
  7. User Experience and Engagement:
    • Enhancing user satisfaction and engagement.
    • Muvi’s features for creating a seamless streaming experience.
  8. Future Trends and Innovations:
    • Predictions for the future of streaming.
    • Muvi’s roadmap and commitment to staying ahead of industry trends.

Event Language: English
1 hour