Abstract
The economic impact of recommendation networks in an e-commerce platform is attracting increasing interests from researchers. Various indicators adopted from social network measuring are used to describe the features of products recommendation networks. However, systematic measurements are still scarce in existing studies. This paper summarized three dimensions of measurement for products recommendation network, i.e., centrality, connection and size. Furthermore, the measurements were used to examine the structures of recommendation network in a packaged tour e-commerce platform from their evenness, clustering and scale. Our study mainly contributes to the emerging literature on products recommendation networks by offering three dimensions of measurements to describe the network structure.
Recommended Citation
Tu, Zihang; Yao, Tiantian; and Zhu, Zhen, "Measurements of Recommendation Network Structure in a Package Tour E-commerce Platform" (2019). WHICEB 2019 Proceedings. 30.
https://aisel.aisnet.org/whiceb2019/30