Title :
AgeTrust: A New Temporal Trust-Based Collaborative Filtering Approach
Author :
Moghaddam, Morteza Ghorbani ; Mustapha, Norwati ; Mustapha, Aouache ; Sharef, Nurfadhlina Mohd ; Elahian, Anousheh
Author_Institution :
Fac. of Comput. Sci. & IT, Univ. Putra Malaysia (UPM), Serdang, Malaysia
Abstract :
Recommender systems are useful techniques for solving the problem of information overload. Collaborative Filtering (CF) is the most successful approach for recommendation. This approach focuses on previous indicate preferences which is known for its traditional problems such as cold-start, sparsity and hacking. For solving the problem of hacking and improving the accuracy, trust-based CF methods have been proposed previously. These methods focused on trust values among the users. Nonetheless, most existing approaches use trust as a factor independent from time which we think that trust value between users is dynamic; hence it change over time. For this reason, we used friendship time and proposed a novel temporal-trust based approach called AgeTrust to measure trust value. To validate the proposed approach, we used Delicious data set and compared our approach with two other traditional trust-based approaches: traditional CF and FriendshipTrust. Result shows that our proposed approach outperforms the traditional approaches.
Keywords :
collaborative filtering; recommender systems; trusted computing; AgeTrust approach; FriendshipTrust approach; information overload problem; recommender systems; temporal trust-based collaborative filtering approach; trust value measurement; trust-based CF methods; Accuracy; Collaboration; Computer science; Educational institutions; Recommender systems; Tagging;
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
DOI :
10.1109/ICISA.2014.6847352