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Summary: Affinity-Driven Prediction and Ranking of Products in
Online Product Review Sites
Hui Li
herolee@pmail.ntu.edu.sg
Sourav S Bhowmick
assourav@ntu.edu.sg
Aixin Sun
axsun@ntu.edu.sg
School of Computer Engineering
Nanyang Technological University
Singapore
ABSTRACT
Large online product review websites (e.g., Epinions, Blippr)
have recently come into being containing information related
to various types of products. Typically, each product in
these sites is associated with a group of members who have
provided ratings and comments on it. These people form a
product community. A potential member can join a product
community by giving a new rating to the product. We re-
fer to this phenomenon of a product community's ability to
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