Recommender systems: operating principle and development procedure
Posted: Wed Jan 22, 2025 4:32 am
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What are we talking about? Everyone who has ever used a large marketplace or online cinema has encountered recommendation systems. Products marked as recommended are the result of this option.
How is it organized? The homeowner database recommendation system can be organized in several ways: taking into account user ratings, at random, or a mixed way. It can be set up not only by large businesses, but also by small online stores.
The article explains:
The essence of a recommender system
How does a recommender system work?
Types of recommender systems
Characteristics of a recommender system
Recommender system strategies
Recommender system algorithms
An example of creating a recommender system
Evaluation of a recommender system
Myths about recommender systems
5 Scenarios for Using Neural Networks to Increase Website Conversion by 40%
Download for free
The essence of a recommender system
Recommender systems were first discussed in the 1990s. Already in the 2000s, they became an important element of e-commerce, and leading global brands quickly felt the economic benefits of using this tool. Its most important advantages:
Increase sales.
Maintaining audience loyalty and reducing churn.
Increase in profits and average purchase price.
The essence of a recommender system
The experience of the first use of smart recommendations showed that this tool has broad prospects not only in sales, but also in many other web services. The first to actively use the system was the streaming platform Netflix. The effect was as follows:
Clients, receiving personalized recommendations, continued to use the service and did not look for content on other resources.
Sales and views have increased.
Netflix's experience has attracted the attention of other major services. Today, smart recommendations are used on almost all reputable Internet platforms, be it an online store or an online cinema. Recommender systems not only help retain users and increase the average check, but also allow you to directly shape customer preferences. Many of us are familiar with this situation. Let's look at a specific example.
Let's say you decide to take up bodybuilding, but you have neither knowledge of training systems nor skills in handling sports equipment. If you start searching social networks for communities dedicated to this topic, then over the next few days the user will receive recommendations from other groups and users talking about body building, from which the data will be drawn. Thus, this system forms a limited information space for each consumer.
Forming smart recommendations is a complex task in terms of data analysis and technical implementation. It is solved based on a number of simpler mathematical algorithms. To better understand how recommendation systems are created, let's look at a typical marketplace. If a person is viewing information about a product, then several more products will be offered to him in the adjacent menu. At least some of them are of interest to the user and quite correspond to his preferences.
Increase Your Profits by 10X: 5 Key Metrics You Must Track
Alexander Kuleshov
Alexander Kuleshov
General Director of Sales Generator LLC
Read more posts on my personal blog:
After working with over 300 online projects , I can guarantee: monitor these metrics weekly and your company will not only survive, but also increase its profits by 10 times!
In the context of sanctions and crisis, knowing the ROI of your advertising decides whether your business will be successful. Tracking these 5 critical indicators is the key to your prosperity.
What you get for free:
5 Key Metrics to Increase Profits by 220%
The Secret ROI Formula: Instant Advertising Efficiency Calculator
Anti-crisis Solutions Matrix: Find the Perfect Strategy for Your Business in 15 Minutes
We have prepared all the documents and templates with formulas for you. And yes, it is FREE:
Download documents for free
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Save article:
What are we talking about? Everyone who has ever used a large marketplace or online cinema has encountered recommendation systems. Products marked as recommended are the result of this option.
How is it organized? The homeowner database recommendation system can be organized in several ways: taking into account user ratings, at random, or a mixed way. It can be set up not only by large businesses, but also by small online stores.
The article explains:
The essence of a recommender system
How does a recommender system work?
Types of recommender systems
Characteristics of a recommender system
Recommender system strategies
Recommender system algorithms
An example of creating a recommender system
Evaluation of a recommender system
Myths about recommender systems
5 Scenarios for Using Neural Networks to Increase Website Conversion by 40%
Download for free
The essence of a recommender system
Recommender systems were first discussed in the 1990s. Already in the 2000s, they became an important element of e-commerce, and leading global brands quickly felt the economic benefits of using this tool. Its most important advantages:
Increase sales.
Maintaining audience loyalty and reducing churn.
Increase in profits and average purchase price.
The essence of a recommender system
The experience of the first use of smart recommendations showed that this tool has broad prospects not only in sales, but also in many other web services. The first to actively use the system was the streaming platform Netflix. The effect was as follows:
Clients, receiving personalized recommendations, continued to use the service and did not look for content on other resources.
Sales and views have increased.
Netflix's experience has attracted the attention of other major services. Today, smart recommendations are used on almost all reputable Internet platforms, be it an online store or an online cinema. Recommender systems not only help retain users and increase the average check, but also allow you to directly shape customer preferences. Many of us are familiar with this situation. Let's look at a specific example.
Let's say you decide to take up bodybuilding, but you have neither knowledge of training systems nor skills in handling sports equipment. If you start searching social networks for communities dedicated to this topic, then over the next few days the user will receive recommendations from other groups and users talking about body building, from which the data will be drawn. Thus, this system forms a limited information space for each consumer.
Forming smart recommendations is a complex task in terms of data analysis and technical implementation. It is solved based on a number of simpler mathematical algorithms. To better understand how recommendation systems are created, let's look at a typical marketplace. If a person is viewing information about a product, then several more products will be offered to him in the adjacent menu. At least some of them are of interest to the user and quite correspond to his preferences.
Increase Your Profits by 10X: 5 Key Metrics You Must Track
Alexander Kuleshov
Alexander Kuleshov
General Director of Sales Generator LLC
Read more posts on my personal blog:
After working with over 300 online projects , I can guarantee: monitor these metrics weekly and your company will not only survive, but also increase its profits by 10 times!
In the context of sanctions and crisis, knowing the ROI of your advertising decides whether your business will be successful. Tracking these 5 critical indicators is the key to your prosperity.
What you get for free:
5 Key Metrics to Increase Profits by 220%
The Secret ROI Formula: Instant Advertising Efficiency Calculator
Anti-crisis Solutions Matrix: Find the Perfect Strategy for Your Business in 15 Minutes
We have prepared all the documents and templates with formulas for you. And yes, it is FREE:
Download documents for free
Already down