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AffRank: Affinity-Driven Ranking of Products in Online Social Rating Networks
 

Summary: AffRank: Affinity-Driven Ranking of Products in Online Social
Rating Networks
Hui Li, Sourav S. Bhowmick, Aixin Sun
Nanyang Technological University, Nanyang Avenue, Singapore 639798
herolee@pmail.ntu.edu.sg, {assourav,axsun}@ntu.edu.sg
Abstract
Large online social rating networks (e.g., Epinions, Blippr)
have recently come into being containing information re-
lated to various types of products. Typically, each product
in these networks is associated with a group of members
who have provided ratings and comments on it. These peo-
ple form a product community. A potential member can join
a product community by giving a new rating to the product.
We refer to this phenomenon of a product community's abil-
ity to "attract" new members as product affinity. The knowl-
edge of a ranked list of products based on product affinity
is of much importance to be utilized for implementing poli-
cies, marketing research, online advertisement, and other
applications. In this paper, we identify and analyze an array
of features that exert effect on product affinity and propose

  

Source: Aixin, Sun - School of Computer Engineering, Nanyang Technological University

 

Collections: Computer Technologies and Information Sciences