Your Personalized TV Show Recommendations

Discover shows tailored just for you, based on your viewing history and preferences.

Recommendation engine

How Our Recommendation Engine Works

Our recommendation engine, developed by the talented team at StreamSphere's R&D lab in Moscow, utilizes a sophisticated algorithm to provide you with highly personalized TV show recommendations. This algorithm takes into account a variety of factors, including:

  • Your Viewing History: We analyze the TV shows you have watched in the past to identify patterns and preferences.
  • Genre Preferences: We track the genres you enjoy the most, whether it's drama, comedy, science fiction, or thrillers.
  • Ratings and Reviews: We consider the ratings and reviews you have given to previous shows, as well as the ratings and reviews from other users with similar tastes.
  • Content Similarities: We identify shows that are similar to the ones you have enjoyed in terms of plot, characters, themes, and style.
  • Trending Shows: We factor in currently trending shows that align with your interests, ensuring you don't miss out on popular series.

Our team of data scientists, led by Dr. Irina Petrova, continuously refines the algorithm to improve its accuracy and relevance. The goal is to provide you with the best possible viewing experience by suggesting shows that you are likely to enjoy. We are constantly updating our database with new shows and information to keep your recommendations fresh and exciting.

We understand that privacy is important, and we want to assure you that your data is handled with the utmost care and security. For more information, please see our Privacy Policy .

Help Us Improve Your Recommendations

Tell us what you think of our recommendations. Your feedback helps us make StreamSphere even better!