Streaming algorithms employed by platforms like Netflix prioritize corporate interests, leading to recommendations that may not align with quality. These algorithms generated an estimated savings of $1 billion annually for Netflix. The focus is on promoting content that is highly rated, specifically those achieving at least 7/10 on IMDb and 70% on Rotten Tomatoes. The recommendations provided are curated by humans who thoroughly reviewed each title, ensuring that viewers can access quality options despite algorithmic biases, even amidst funding limitations for the service.
Streaming algorithms prioritize corporate interests by recommending content that platforms profit from, rather than genuinely high-quality options. Netflix's algorithm reportedly saves the company $1 billion annually.
Every recommendation listed boasts a minimum of 7/10 on IMDb and 70% on Rotten Tomatoes, with human review involved, ensuring there's no algorithmic influence.
Even though funds are limited, the dedication to curating a list of highly-rated yet lesser-known movies reflects a commitment to quality over algorithmic bias.
Trust in our recommendations comes from the thorough human review process; every title listed has been personally watched and vouched for.
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