Add to ORKGInternational audienceRecommender systems (RSs) are software tools and techniques dedicated to generate meaningful suggestions about new items (products and services) for particular customers (the users of the RS). These recommendations will help the users to make decisions in multiple contexts, such as what items to buy, what music to listen to, what online news to read [19], or, in the social network domain, which user to connect to or which users to consider as a trustful adviser
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
The recommendation of products, content and services cannot be considered newly born, although its w...
International audienceRecommender systems (RSs) are software tools and techniques dedicated to gener...
Recently, there has been a significant growth in the science of networks, as well as a big boom in s...
Today, the emergence of web-based communities and hosted services such as social networking sites, w...
A Recommendation or Suggestion System (RSS) helps on-demand digital content and social media platfor...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
Recommender systems, software programs that learn from human behavior and make predictions of what p...
Recommendations are long chains followed from traditional life to today’s life. In everyday life, th...
Recommender Systems (RS) currently represent a fundamental tool in online services, especially with ...
In recent years, different types of review systems have been developed with the recommender system (...
Recommender systems are a means of personalizing the pre-sentation of information to ensure that use...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
The Internet provides large varieties of content, which renders consumption difficult for users. How...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
The recommendation of products, content and services cannot be considered newly born, although its w...
International audienceRecommender systems (RSs) are software tools and techniques dedicated to gener...
Recently, there has been a significant growth in the science of networks, as well as a big boom in s...
Today, the emergence of web-based communities and hosted services such as social networking sites, w...
A Recommendation or Suggestion System (RSS) helps on-demand digital content and social media platfor...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
Recommender systems, software programs that learn from human behavior and make predictions of what p...
Recommendations are long chains followed from traditional life to today’s life. In everyday life, th...
Recommender Systems (RS) currently represent a fundamental tool in online services, especially with ...
In recent years, different types of review systems have been developed with the recommender system (...
Recommender systems are a means of personalizing the pre-sentation of information to ensure that use...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
The Internet provides large varieties of content, which renders consumption difficult for users. How...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
This paper aims to analyzing the match between social network theories and recommender systems. Seve...
The recommendation of products, content and services cannot be considered newly born, although its w...