SOCIAL COMMERCE
Involved Laboratories:

Smart Data and Models;

Selected Publications:

E Oro, C Pizzuti, N Procopio, M Ruffolo. Detecting Topic Authoritative Social Media Users: a Multilayer Network Approach. IEEE Transactions on Multimedia.

E Oro, C Pizzuti, M Ruffolo. A Methodology for Identifying Influencers and their Products Perception on Twitter. 20th International Conference on Enterprise Information Systems, 2018.

SOCIAL COMMERCE

SOCIAL COMMERCE: POR FESR CALABRIA 2007-2013. 

YEAR 2015

The main objective of the project “Social Commerce” has been the creation of a social commerce platform able to exploit the sharing mechanisms of users, typical of social network platforms, for promotional and analytical purposes in e-commerce contexts. Web information extraction and social network analysis techniques have been defined and implemented in the context of the software module called “Search, Promotional and Recommendation Engine”. In particular, new methods and algorithms have been defined for the analysis of product perception based on the opinions expressed by buyers on products within e-commerce platforms. The algorithms have been tested on real data collected on behalf of one of the world’s largest producers of mobile telephony devices. The test showed the effectiveness of the proposed method and the possibility of its positive use in the “Search, Promotional and Recommendation Engine” module of the project.

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