The increasing popularity of social networking is providing new opportunities for businesses in electronic commerce. It is evolving in order to adopt Web 2.0 capabilities to support online customer interactions and achieve greater economic value. This trend is referred to as social commerce. This study offers the result of a Systematic Literature Review (SLR) to explain the concept of social commerce. In order to elaborate this article, 64 papers were considered from the main digital libraries that index computer science conferences and journals. Applying a systematic analysis to these papers, it was possible to summarize the existing evidence concerning the social commerce and outline some open challenges.
This paper aims at introducing a type of social commerce architecture \ud to which the name Interaction Commerce has been given. First, a \ud global description of the main macro-components forming the structure of this \ud architecture is provided. Such components also take care of managing \ud e-commerce activities and social relationships within the architecture. \ud Second, the focus is set on the analysis of the single components that are \ud key to the social aspects of the architecture. A special chapter is then entirely \ud focussed on a topic that is considered extremely important by the entire \ud research community, i.e., recommender systems. After providing \ud a general introduction on the topic, the two most common recommendation \ud approaches are analyzed and compared. These are the content-based \ud approach and the collaborative filtering approach. The analysis has shown \ud how all recommender systems are threatened by the cold-start problem. \ud Studying recommender systems has allowed for their implementation in the \ud architecture, which now has a new “social” approach that is able to solve the \ud new user cold-start problem. An architecture prototype was developed and \ud tested in order to be validated
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