This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
Abstract. A good way to help users finding relevant items on document platforms consists in suggesting content in accordance with their preferences. When implementing such a recom...
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...