Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback

In recommender systems, user preferences can be acquired either explicitly by means of ratings, or implicitly --e.g., by processing text reviews, and by mining item browsing and purchasing records. Most existing collaborative filtering approaches have been designed to deal with numerical ratings, such as the 5-star ratings in Amazon and N...More