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NFLX » Topics » If we are unable to effectively utilize our recommendation service, our business may suffer.These excerpts taken from the NFLX 10-K filed Feb 25, 2009. If we are unable to effectively utilize our recommendation service, our business may suffer. Based on proprietary algorithms, our recommendation service enables us to predict and recommend titles and effectively merchandise our library to our subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our subscribers. We may experience difficulties in implementing refinements. In addition, we cannot assure that we will be able to continue to make and implement meaningful refinements to our recommendation service. If our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy or if we are unable to implement meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we are unable to effectively utilize our recommendation service, our business may suffer. Based on proprietary algorithms, our recommendation service enables us to predict and recommend titles and effectively merchandise our library to our subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our subscribers. We may experience difficulties in implementing refinements. In addition, we cannot assure that we will be able to continue to make and implement meaningful refinements to our recommendation service. If our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy or if we are unable to implement meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we are unable to effectively utilize our recommendation service, our business may suffer. subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we do not acquire sufficient DVD titles, our subscriber satisfaction and results of operations may be adversely affected. If we do not acquire sufficient copies of DVDs, either by not correctly anticipating demand or by intentionally acquiring fewer copies than If we are unable to effectively utilize our recommendation service, our business may suffer. subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we do not acquire sufficient DVD titles, our subscriber satisfaction and results of operations may be adversely affected. If we do not acquire sufficient copies of DVDs, either by not correctly anticipating demand or by intentionally acquiring fewer copies than If we are unable to effectively utilize our recommendation service, our business may suffer. subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we do not acquire sufficient DVD titles, our subscriber satisfaction and results of operations may be adversely affected. If we do not acquire sufficient copies of DVDs, either by not correctly anticipating demand or by intentionally acquiring fewer copies than These excerpts taken from the NFLX 10-K filed Feb 28, 2008. If we are unable to effectively utilize our recommendation service, our business may suffer. Based on proprietary algorithms, our recommendation service enables us to predict and recommend titles and effectively merchandise our library to our subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our subscribers. We may experience difficulties in implementing refinements. In addition, we cannot assure that we will be able to continue to make and implement meaningful refinements to our recommendation service. If our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy or if we are unable to implement meaningful improvements, our personal movie recommendation service will be less useful, in which event:
If we are unable to effectively utilize our recommendation Based on proprietary algorithms, our recommendation service enables us to predict and recommend We are continually refining our recommendation service in an effort to If our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy
If we do not acquire sufficient DVD titles, our subscriber satisfaction and results of operations may be adversely affected. If we do not acquire sufficient copies of DVDs, either by not correctly anticipating demand or by intentionally acquiring fewer copies than
15 Table of ContentsThis excerpt taken from the NFLX 10-K filed Feb 28, 2007. If we are unable to effectively utilize our recommendation service, our business may suffer. Based on proprietary algorithms, our recommendation service enables us to predict and recommend titles and effectively merchandise our library to our subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure you that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles. We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our subscribers. For example, in 2006 we launched a contest intended to encourage the development of algorithms that will significantly improve the predictive accuracy of our recommendation service, and we intend to use the results of this contest to further refine its utility. We may experience difficulties in implementing refinements. In addition, we cannot assure you that we will be able to continue to make and implement meaningful refinements to our recommendation service.
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Table of ContentsIf our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy or if we are unable to implement meaningful improvements, our personal movie recommendation service will be less useful, in which event:
This excerpt taken from the NFLX 10-K filed Mar 16, 2006. If we are unable to effectively utilize our recommendation service, our business may suffer.
Based on proprietary algorithms, our recommendation service enables us to predict and recommend titles and effectively merchandize our library to our subscribers. We believe that in order for our recommendation service to function most effectively, it must access a large database of user ratings. We cannot assure you that the proprietary algorithms in our recommendation service will continue to function effectively to predict and recommend titles that our subscribers will enjoy, or that we will continue to be successful in enticing subscribers to rate enough titles for our database to effectively predict and recommend new or existing titles.
We are continually refining our recommendation service in an effort to improve its predictive accuracy and usefulness to our subscribers. We may experience difficulties in implementing such refinements. In addition, we cannot assure you that we will be able to continue to make and implement meaningful refinements to our recommendation service.
If our recommendation service does not enable us to predict and recommend titles that our subscribers will enjoy or if we are unable to implement meaningful improvements, our personal movie recommendation service will be less useful, in which event:
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