Journal of Tourism & Hospitality
Open Access

Bruno Silva

Publications

• 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

  Abstract PDF

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