Social Shopping Adviser: Recommendation platform based on mobile services

摘要

As nowadays society is a consumer orientated one, choosing which goods to buy is a very common and time consuming activity. Developing an intelligent, social based recommendation system is a good way to overcome the problem of products information overload. Social recommendations for products refers to the fact that consumers trust a product more if there is a review (of any kind) for it, confirmed by many other users (in psychology this is known as Social Proof). Moreover, if the users that confirms it shares common 'tastes' with the consumer, not only that he/she will consider the product more reliable, but the 'good' will also match his preferences with a high probability and, therefore, he/she will prefer to buy the verified product. A social shopping adviser is what the following paper proposes. We present implementation details, together with experimental results designed to evaluate the system in a first prototype implementation.