ISSN: 2167-0269
+44 1300 500008
Bruno Silva
Ubiwhere,
Travessa Senhor das Barrocas, Aveiro
Portugal
Research Article
Dynamic Selection of Recommender Systems: An Application to Tourism
Author(s): Samuel Arleo and Bruno SilvaSamuel Arleo and Bruno Silva
Recommender Systems are software tools and techniques that seek to suggest items that are likely of interest to a particular user. These systems are a key part of most e-commerce applications, as they ease users to find products that meet their needs while improving sales. Several approaches have been created to determine the users’ preferences by working with different sources and types of information. Collaborative filtering uses the history of ratings, content and knowledge based recommenders work with the features of items, context aware systems provide suggestions based on the situation parameters or conditions that surround the user, while demographic filtering utilizes user’s demographic characteristics. Additionally, there are hybrid approaches that fuse two or more techniques in order to overcome the shortcomings of each method. In this work an application o.. View More»
DOI:
10.4172/2167-0269.1000325