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4 August 2026

Train your streaming algorithm for better recommendations

Get better streaming recommendations by training your algorithm and curating your watchlists

· · 2 min
Train your streaming algorithm for better recommendations

Streaming services have become an integral part of our entertainment routine. However, sometimes the recommendations provided by these services can be disappointing. The good news is that users have the power to train their streaming algorithm to improve the quality of recommendations. By understanding how ratingswatch historyprofiles and hidden settings shape suggestions on major platforms, users can take control of their streaming experience.

How streaming algorithms work

Streaming algorithms use a combination of factors, including user ratingswatch history and profile information to provide personalized recommendations. By analyzing these factors, the algorithm can identify patterns and preferences, and suggest content that is likely to be of interest to the user. However, if the algorithm is not provided with accurate or relevant information, the recommendations may not be accurate.

Resetting and curating watchlists

To improve the quality of recommendations, users can reset and curate their watchlists. This involves deleting unwanted content from their watch history, updating their profile information and providing accurate ratings for the content they have watched. By doing so, users can ensure that their algorithm is working with the most up-to-date and relevant information, and providing recommendations that are tailored to their preferences.

Step-by-step plan to reset and curate watchlists

Here is a step-by-step plan to reset and curate watchlists:

  1. Delete unwanted content from your watch history
  2. Update your profile information to ensure it is accurate and relevant
  3. Provide accurate ratings for the content you have watched
  4. Use hidden settings to customize your recommendations

Many streaming services provide hidden settings that allow users to customize their recommendations. These settings can include options to exclude certain genres or include specific keywords. By using these settings, users can further refine their recommendations and ensure that they are receiving content that is tailored to their preferences.

Author

Florence Wright

Florence Wright, Glasgow native with an editorial-minimal aesthetic, rerouted a social feed to live-cover a Pollok Park remembrance event, prioritising human detail over algorithmic reach. Promotes clarity, humane framing and local resonance; keeps an archive of Polaroids from neighbourhood gatherings as a personal emblem.

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