Collaborative Recommendations: Algorithms, Practical Challenges and Applications

Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.

The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.

This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.

Readership: Researchers, academics, professionals and graduate students in AI/Machine Learning and Databases.

"Exactly 30 years after Prof. Fegan co-authored the article which laid the foundation for the success which very high-energy gamma-ray astronomy has now become, he writes a personal and well-documented history about the advent of this new yet well established experimental field which investigates the most violent astrophysical phenomena in the Universe. Prof. Fegan has been a major actor and a witness of this field during the time lapse which started with small teams and little resources, leading a few decades later to the creation of worldwide collaborations aiming to achieve the largest observatory to date." -- Prof. Berrie Giebels IN2P3, CNRS, Paris