Post by account_disabled on Oct 25, 2023 3:45:24 GMT
The increase in revenues, which was mentioned as one of the main benefits, can be achieved by using appropriate tactics of using recommendations, which will result in: increase in user engagement, increasing conversion rate, increase in the average value of the shopping basket. Recommendation engines and their types Recommendation engines are, to put it simply.
Mechanisms that process and filter information using appropriate predictive algorithms. As a result of the analysis, we will be able to recommend the most appropriate products or services phone number list to a given user in a given context. Depending on the industry, we can treat it as a recommendation: product (e-commerce), content (publishers, news portals, blogs), for example, profiles of specific people ating websites.
The specificity of the business, the target group and the context in which the user is located have an impact on how recommendations are generated and presented on the website. There are many recommendation models generated based on specific logic, which will be discussed later in the article. The basic division, taking into account the method of generating recommendations and the mechanisms used for this purpose, distinguishes two types of recommendations: global, personalized.
Mechanisms that process and filter information using appropriate predictive algorithms. As a result of the analysis, we will be able to recommend the most appropriate products or services phone number list to a given user in a given context. Depending on the industry, we can treat it as a recommendation: product (e-commerce), content (publishers, news portals, blogs), for example, profiles of specific people ating websites.
The specificity of the business, the target group and the context in which the user is located have an impact on how recommendations are generated and presented on the website. There are many recommendation models generated based on specific logic, which will be discussed later in the article. The basic division, taking into account the method of generating recommendations and the mechanisms used for this purpose, distinguishes two types of recommendations: global, personalized.