The recent research on the impact of information technology on consumers’ purchasing behavior shows that the purchasing power of consumers who buy more diversified products is stronger than that of consumers who buy single types of goods. Improving the overall diversity of recommendation results can make more products appear in the user’s recommendation list
Recommender systems are frequently used as part of online shops to help consumers browse through la...
The 11th ACM Conference on Recommender Systems, Como, Italy, 27-31 August 2017Many state-of-the-art ...
Recommendation systems have been widely used in e-commerce, to help users get information on produc...
Personalized recommendation has important implications in raising online shopping efficiency and inc...
Purpose – The purpose of this paper is to explore the effects of online recommender systems (RS) on ...
Version anglaise du chapitre "Recommandeurs et diversité : exploitation de la longue traîne et diver...
Abstract. Many e-commerce sites use a recommendation system to filter the specific in-formation that...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
University of Minnesota Ph.D. dissertation. August 2011. Major: Business Administration. Advisor: Ge...
We investigate the impact of several recommender algorithms (e.g., Amazon.com\u27s “Consumers who bo...
AbstractTo recommend products to users according to their interests, research on recommended systems...
The last ten years have seen a large increase in the number of products available. Many believe this...
The book deals with product recommendations generated by information systems referred to as recommen...
Personalization mechanisms such as recommender systems play an important role in online retail, and ...
This research paper explores the concept of Dynamic Adaptation of Diversification Strategies in Pers...
Recommender systems are frequently used as part of online shops to help consumers browse through la...
The 11th ACM Conference on Recommender Systems, Como, Italy, 27-31 August 2017Many state-of-the-art ...
Recommendation systems have been widely used in e-commerce, to help users get information on produc...
Personalized recommendation has important implications in raising online shopping efficiency and inc...
Purpose – The purpose of this paper is to explore the effects of online recommender systems (RS) on ...
Version anglaise du chapitre "Recommandeurs et diversité : exploitation de la longue traîne et diver...
Abstract. Many e-commerce sites use a recommendation system to filter the specific in-formation that...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
University of Minnesota Ph.D. dissertation. August 2011. Major: Business Administration. Advisor: Ge...
We investigate the impact of several recommender algorithms (e.g., Amazon.com\u27s “Consumers who bo...
AbstractTo recommend products to users according to their interests, research on recommended systems...
The last ten years have seen a large increase in the number of products available. Many believe this...
The book deals with product recommendations generated by information systems referred to as recommen...
Personalization mechanisms such as recommender systems play an important role in online retail, and ...
This research paper explores the concept of Dynamic Adaptation of Diversification Strategies in Pers...
Recommender systems are frequently used as part of online shops to help consumers browse through la...
The 11th ACM Conference on Recommender Systems, Como, Italy, 27-31 August 2017Many state-of-the-art ...
Recommendation systems have been widely used in e-commerce, to help users get information on produc...