Elevating Prediction Accuracy in Trust-aware Collaborative Filtering Recommenders through T-index Metric and TopTrustee lists

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Zarghami, Alireza and Fazeli, Soude and Dokoohaki, Nima and Matskin, Mihhail (2010) Elevating Prediction Accuracy in Trust-aware Collaborative Filtering Recommenders through T-index Metric and TopTrustee lists. Journal of Emerging Technologies in Web Intelligence, 2 (4). ISSN 1798-0461

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Abstract:The growing popularity of Social Networks raises the
important issue of trust. Among many systems which have
realized the impact of trust, Recommender Systems have
been the most influential ones. Collaborative Filtering Recommenders take advantage of trust relations between users
for generating more accurate predictions. In this paper, we
propose a semantic recommendation framework for creating
trust relationships among all types of users with respect
to different types of items, which are accessed by unique
URI across heterogeneous networks and environments. We
gradually build up the trust relationships between users
based on the rating information from user profiles and item
profiles to generate trust networks of users. For analyzing
the formation of trust networks, we employ T-index as an
estimate of a user’s trustworthiness to identify and select
neighbors in an effective manner. In this work, we utilize
T-index to form the list of an item’s raters, called Top-
Trustee list for keeping the most reliable users who have
already shown interest in the respective item. Thus, when a
user rates an item, he/she is able to find users who can
be trustworthy neighbors even though they might not be
accessible within an upper bound of traversal path length.
An empirical evaluation demonstrates how T-index improves
the Trust Network structure by generating connections to
more trustworthy users. We also show that exploiting Tindex
results in better prediction accuracy and coverage
of recommendations collected along few edges that connect
users on a Social Network.
Item Type:Article
Additional information:Open Access
Copyright:© 2010 The Author(s)
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/73926
Publisher URL:http://www.academypublisher.com/jetwi/
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