Get flash to fully experience Pearltrees We're running a special
series on recommendation technologies and in this post we look
at the different approaches - including a look at how Amazon and
Google use recommendations. Information providers are a very
promising application area of recommender systems due to the
general problem of assessing the quality of information products
prior to the purchase. Recommender systems automatically
generate product recommendations: customers profit from a faster
finding of relevant products, stores profit from rising sales.
All aspects of recommender systems are covered: the economic
background, mechanism design, a survey of systems in the
Internet, statistical methods and algorithms, service oriented
architectures, user interfaces, as well as experiences and data
from real-world applications. Recommender systems suggest
information sources and products to users based on learning from
examples of their likes and dislikes. Most existing recommender
systems use collaborative f