摘要：The trust as a social relationship captures
similarity of tastes or interests in perspective. However, the existent trust information
is usually very sparse, which may suppress the accuracy of our personal product
recommendation algorithm via a listening and trust preference network. Based on
this thinking, we experiment the typical trust inference methods to find out
the most excellent friend-recommending index which is used to expand the
current trust network. Experimental results demonstrate the expanded
friendships via superposed random walk can indeed improve the accuracy of our
personal product recommendation.
关键词：Personal Product Recommendation; Trust Inference; Listening and Trust Preference Network
