Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.

Practices associated with the culture of scholarly reading have been developed over many centuries and annotations themselves have become the subject of study, either as additional elements in connection with the original texts or as documents in their own right. The first scholarly reading techniques, seen historically from the 12th Century onwards, combine reading and writing in a process known as lettrure, involving both attentive reading and commentary. The Internet has transformed this activity, adding technical layers that relate both to the reading and writing process as well as to the circulation of texts; their potential and effective augmentation, diffusion, and reception. This book examines digitized reading and writing by focusing primarily on the conditions for the co-construction of scientific knowledge and its augmentation. The authors present numerous examples of studies and personal feedback concerning the intellectual process, open critical spaces, collaborative scholarly publishing, methods for the circulation and mediatization of knowledge, as well as the techniques and tools employed.