This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume off…
The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce webs…
With the continuous growth in the number of products available in e-commerce applications and information items available on the Internet, the task of associating users with a small list of personalized items, extracted from a large and diverse pool of items, is clearly beyond h…
In this dissertation, we cover some recent advances in collaborative filtering and ranking. In chapter 1, we give a brief introduction of the history and the current landscape of collaborative filtering and ranking; chapter 2 we first talk about pointwise collaborative filtering…
With the explosive growth of information on the Internet, recommender systems have been broadly applied in user engaged systems to efficiently discover items of potential interest. In order to automatically generate such “guess what you like” results and serve matching recommend…