13 October 2024

Netflix Terrible Recommendations

Netflix is all hype. The quality of recommendations and personalization is terrible and lacks variety of content. The entire flow of rating system looks flawed. And, when you refresh the browser the same content that you thumbs down on reappears at the very top. The infinite scrolling is annoying. The algorithm does not personalize to watch habits of a user. Majority of the recommendations seem to be new and irregular. 

Netflix has an inaccurate and insufficient data collection gathering process which leaves an incomplete dataset for a recommendation model. The model is neither sufficiently able to gather how you use the platform nor how you don't use it while ignoring user interests and intents.

Netflix algorithms try to measure correlation but not sufficiently causation. It is not able to answer "why". This is in fact the whole point of a recommendation algorithm to utilize insights in order to make deeper contextual decisions on personalization to match items to users. 

Netflix algorithms lack sufficient reasoning skills to understand the habits of the user to provide better recommendations in respect of context, intents, and interests. The connections drawn between two points of data seem blurred. This may be as a result of tastes that are not fixed but tend to change. Unfortunately, there is also lack of filters for the user to provide additional data. This could include preferences as part of user profile. The fundamental filtering attributes of grouping items with the user in context seems to be missing for quality recommendations.  There is also little to no common sense in the recommendations. It often seems like the user will be trapped in a bubble of sorts. Also, one would assume that they would also recommend their own produced content to recuperate production costs through the platform and take benefit from user data. Furthermore, this may even provide insights on future production projects.

Finally, there is a significant lack of content variety on the platform. A huge bias towards Indian content over other regional content. The content library needs a complete reboot with more flexibility on user preference filters. And, an increase in frequency of new content to be able to sustainably compete with other streaming platform providers.