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.
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.
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