Web Recommendations Systems, Venugopal K. R., Srikantaiah K. C., Santosh Nimbhorkar Sejal
Автор: Berkovsky Shlomo, Cantador Ivan, Tikk Domonkos Название: Collaborative Recommendations: Algorithms, Practical Challenges and Applications ISBN: 9813275340 ISBN-13(EAN): 9789813275348 Издательство: World Scientific Publishing Рейтинг: Цена: 258720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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.
Автор: Tarraf Danielle C., Shelton William, Parker Edward Название: The Department of Defense Posture for Artificial Intelligence: Assessment and Recommendations ISBN: 1977404057 ISBN-13(EAN): 9781977404053 Издательство: Неизвестно Рейтинг: Цена: 28150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD and address misconceptions about it; conduct an independent and introspective assessment of the Department of Defense's posture in AI; and put forth a set of recommendations for internal actions, external engagements, and potential legislative or regulatory actions that could enhance the Department of Defense posture in AI.
Автор: Nicola Barbieri, Giuseppe Manco, Ettore Ritacco Название: Probabilistic Approaches to Recommendations ISBN: 1627052577 ISBN-13(EAN): 9781627052573 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 46200.00 T Наличие на складе: Невозможна поставка. Описание: The importance of accurate recommender systems has been widely recognized by academia and industry. This book provides a brief summary of the recommendation problem and its challenges, and reviews of some widely used techniques It then discusses probabilistic approaches for modelling preference data.
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