"Many large-scale recommendation systems are brittle and vulnerable.
Mahout has been used for large-scale recommendation systems [39], which would be useful to apply to review spam detection, as reviewers may be related to each other on different review websites.
LinkedIn argues that most large-scale recommendation systems (think LinkedIn's own tools for suggesting connections on its site) are managed by at least two teams: one that handles the offline modeling and one that takes care of the online feature-serving/model-scoring part of the system.
The anthrax attacks of 2001 prompted the first, large-scale recommendations for use of prophylactic medications in response to bioterrorism.
Several projects funded by the European Commission are: PROLOGUE: aimed to assess the feasibility and usefulness of a large-scale NDS in Europe and to formulate recommendations for such a large-scale study (www.prologue-eu.eu; [5]); INTERACTION: aimed at a better understanding of driver interactions with in-vehicle technologies (interaction-fp7.eu).
From a large-scale offline evaluation and a smaller-scale user study, they found immersive recommendations improved recommendation performances by up to 57percentand42percentcent for news and meetups, respectively, over the state-of-the-art approaches, and showed clear potential in helping users discover more diverse information.
My main assignment was to collect and code this information into a comprehensive database, providing the foundation for a large-scale risk analysis that would, in turn, inform policy recommendations.
From a large-scale offline evaluation and a smaller-scale user study, they found that immersive recommendations improved the recommendation performances by up to 57% and 42% for news and meetups respectively over the state-of-the-art approaches, and showed clear potential in helping users discover more diverse information.
The design of the data pipeline is based on real-world requirements obtained from an embedded study in a large-scale manufacturing facility, as well as adhering to relevant smart manufacturing recommendations.
Nooyi affirms that the concrete recommendations in Learning to Succeed are as applicable for a large-scale conglomerate like PepsiCo as for a small business seeking to stay competitive while in growth mode.
This pilot study, with its limitations discussed above, has allowed a number of recommendations to be made to facilitate the design of a large-scale trial.
