• Social Tagging Systems.- Recommender Systems.- Baseline Techniques.- Advanced Techniques.- Offline Evaluation.- Real World Social Tagging Recommender Systems.- Online Evaluation.- Conclusions.

From the reviews: "The book is a useful contribution towards harnessing crowd sourced descriptions by using recommender systems as it epitomises the long experience of the majority of the authors in social tagging systems ... . the engaged researcher in the area will benefit from reading this book in that it provides a good orientation over state-of-the-art approaches and techniques for building recommender systems in order to harness the innate variety of crowd sourced annotations and tags." (Cathal Gurrin, Informer, July, 2013)

• Social Tagging Systems.- Recommender Systems.- Baseline Techniques.- Advanced Techniques.- Offline Evaluation.- Real World Social Tagging Recommender Systems.- Online Evaluation.- Conclusions.

From the reviews: "The book is a useful contribution towards harnessing crowd sourced descriptions by using recommender systems as it epitomises the long experience of the majority of the authors in social tagging systems ... . the engaged researcher in the area will benefit from reading this book in that it provides a good orientation over state-of-the-art approaches and techniques for building recommender systems in order to harness the innate variety of crowd sourced annotations and tags." (Cathal Gurrin, Informer, July, 2013)

• Social Tagging Systems.- Recommender Systems.- Baseline Techniques.- Advanced Techniques.- Offline Evaluation.- Real World Social Tagging Recommender Systems.- Online Evaluation.- Conclusions.

From the reviews: "The book is a useful contribution towards harnessing crowd sourced descriptions by using recommender systems as it epitomises the long experience of the majority of the authors in social tagging systems ... . the engaged researcher in the area will benefit from reading this book in that it provides a good orientation over state-of-the-art approaches and techniques for building recommender systems in order to harness the innate variety of crowd sourced annotations and tags." (Cathal Gurrin, Informer, July, 2013)