The article concerns products and services recommendation systems in ecommerce which have become increasingly important for both consumers and retailers. The methods used for the recommendation of products and services, as well as the algorithms used to implement them, are presented in the article. Particular attention was paid to the problems of testing the suitability of algorithms, along with the effectiveness measures of the applications of the methods and algorithms
The article presents current approaches to solving the problem of building recommender systems desig...
We evaluate a wide range of recommendation algorithms on e-commerce-related datasets. These algorith...
Over the recent years, a plethora of recommender systems (RS) have been proposed by academics. The d...
Summary: The article concerns products and services recommendation systems in e-commerce which have ...
One of the major problem with online shopping is finingd the right product, because finding the righ...
In today’s world, filtering vast amount of information has become an important part of the daily lif...
The technological development in the devices and services provided via the Internet and the availabi...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Recommender systems can be singled out among the latest trends in Internet marketing. Recommender sy...
The purpose of the bachelor thesis is to analyse common known recommendation algorithms and their ap...
The goal of this project is to explore the problem of product recommendations in the area of e-comme...
This paper aims to give an overview of recommender systems as one of the key factors e-commerce deve...
Recommender system has been developed as a useful tool especially when we reached the era of big dat...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommender systems are dynamical from novelties utilized by a couple of E-commerce sites, to seriou...
The article presents current approaches to solving the problem of building recommender systems desig...
We evaluate a wide range of recommendation algorithms on e-commerce-related datasets. These algorith...
Over the recent years, a plethora of recommender systems (RS) have been proposed by academics. The d...
Summary: The article concerns products and services recommendation systems in e-commerce which have ...
One of the major problem with online shopping is finingd the right product, because finding the righ...
In today’s world, filtering vast amount of information has become an important part of the daily lif...
The technological development in the devices and services provided via the Internet and the availabi...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Recommender systems can be singled out among the latest trends in Internet marketing. Recommender sy...
The purpose of the bachelor thesis is to analyse common known recommendation algorithms and their ap...
The goal of this project is to explore the problem of product recommendations in the area of e-comme...
This paper aims to give an overview of recommender systems as one of the key factors e-commerce deve...
Recommender system has been developed as a useful tool especially when we reached the era of big dat...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
Recommender systems are dynamical from novelties utilized by a couple of E-commerce sites, to seriou...
The article presents current approaches to solving the problem of building recommender systems desig...
We evaluate a wide range of recommendation algorithms on e-commerce-related datasets. These algorith...
Over the recent years, a plethora of recommender systems (RS) have been proposed by academics. The d...