tailieunhanh - Staring at a shelf full of Photoshop books at the local bookstore, it seems that there are more special-effect “cookbooks” and technical tomes than anyone would ever care to read. The problem is that none of those “cookbooks” provide enough detail to really let you feel like you understand the program (blindly following the listed steps just doesn’t do it), and all of the technical books are deep into terms like rasters, vectors, and bit-depth settings. That’s the primary reason that most people

The vast amount of information available on the Internet, coupled with the diversity of user information needs, have urged the development of personalized systems that are capable of distinguishing one user from the other in order to provide content, services and information tailored to individual users. Recommender Systems (RS) form a special category of such personalized systems and aim to predict user’s preferences based on her previous behavior. Recommender systems emerged in the mid-90’s and since they have been used and tested with great success in e-commerce, thus offering a powerful tool to businesses activating in this field by adding extra value to their customers. They have experienced. | Borko Furht Editor Handbook of Multimedia FOR Digital Entertainment AND Arts Springer Handbook of Multimedia for Digital Entertainment and Arts Borko Furht Editor Handbook of Multimedia for Digital Entertainment and Arts 1 .