Why Is YouTube Recommending Random Videos?

The YouTube algorithm is a powerful tool for professional or new content creators that controls video range and views. YouTube recommendations effectively diversify the content uploaded to enhance the user experience of personalized content. However, because of AI and machine learning, the algorithm broke and started showing suggestions you are not interested in.

YouTube has set its algorithms based on several factors, and with recent changes, it’s now promoting new content creators. So, this guide will develop an understanding to avoid poor recommendations according to individual user experience.

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How Does YouTube Algorithm Work for Recommendations?

YouTube Algorithm uses artificial intelligence and machine learning to diversify the recommendations to individual users. It’s become difficult to understand or track recent algorithm updates because it optimizes videos for better engagement. Besides this, there are following things that algorithms take into account for better video quality.

  1. Past watch history

Viewers with a strong watch history, such as if you have watched a video and placed likes or comments on YouTube, will find it interesting. In addition, if you have subscribed to a specific channel, it will start recommending videos of similar content from similar channels. YouTube has set its algorithm to recommend videos with a positive watch history and previous experiences. 

  1. Priorities 

The algorithm prioritizes the content that will be most relevant or useful according to specific keyword research. YouTube Algorithm combines “relevance” such as title, tags, description, and “quality” to determine the channel authority.

Moreover, likes, comments, subscriptions, and watching the duration of specific content determine the recommendations. That’s why YouTube heavily suggests random videos with limited views to analyze users’ engagement. 

  1. Algorithm Recommendations

YouTube has set its algorithm to recommend relevant videos from history based on likes or comments. However, the recent update shows irrelevant videos because of several factors, precisely its inability to access Google history.

Moreover, it has started focusing on content creators with minimum followers to engage with versatile audiences. Therefore, it recommends videos from coming channels with a fever or low views compared to established creators. 

  1. Click through Rate

It works based on specific keywords, topics, or user engagement patterns based on the previous watch history. If you have clicked or shown interest, it will recommend videos even with lower views. Besides this, YouTube ensures entertainment and shows new creators, exposing users to diverse content.

Why is YouTube recommending random videos?

Because of YouTube’s complex algorithm recommendations, analyzing the factors that personalized the content is essential. YouTube carefully observes and understands user experiences when exposed to diverse YouTube content. In addition, it continuously improves algorithms by adjusting users’ personalization settings.

Besides this, it analyzes different challenges and ensures broader entertainment by suggesting random videos. Therefore, some prominent factors must be considered for YouTube’s recommendations.

  1. New Content Creators

Small content creators have faced multiple challenges because of the tailoring of specific audiences and content entertainment. Therefore, YouTube collects data from various channels to analyze which will do the best. That’s why it recommends irrelevant videos with limited views without the constraints of area and language.

Moreover, small accounts need more content data to promote their channel. YouTube analyzes how frequently viewers will watch. It happens because NewTubers have to deal with the difficulty of promoting their channel with popular content.

So, YouTube promotes channels with less than 100k views and subscribes to their channels to showcase their talent. 

  1. Personalization and Experimentation

The algorithm is based on artificial intelligence and machine learning, continuously learning from user behaviors. Therefore, it recommends videos from less-known channels to understand user interests and how they will react. 

  • Moreover, after signing in to the YouTube account, it will suggest videos according to Google search history. However, if used without logging in, it will use cookies to prefer videos according to preferences.

Similarly, showing one out of ten beside the typical viewing pattern helps the algorithm for better understanding. YouTube relies heavily on personalized experience, which is why general factors such as “time of day” and “where you live” affect recommendations. 

  1. Algorithms Updates

With recent algorithm updates, YouTube effectively creates the “space” to benefit small channels. It happens because YouTube has diverted its focus on “view counts” and prioritizes “similarity” of tags and content. Moreover, besides recommending already watched videos, it provides content from new channels.

Also, because of the changing user interface, it continuously updates its layout around the videos to diversify the range. Additionally, YouTube is a money-making platform, and giving new creators a space provides more security and engagement.

  1. Previous History

It depends on previous “watch history,” “search history,” and “subscribed channels” to recommend videos. The history provides insights into users’ interests, preferences, and adequate content consumption. 

  • With search history, YouTube analyzes the keywords or topics you are searching for. The algorithm will understand the recent searches and recommend videos according to preferences.
  • The user’s previous watch history, duration, and content type that attracted attention effectively shape the algorithm. So, to stop recommendations from accidentally watching content, removing it from watch history is essential.

YouTube works on personalizing the viewing experience, and it’s essential to make it understand what you are interested in. For this, activate the watch history and delete the videos you had accidentally watched to remove them from recommendations. 

  1. Viewers with similar interests

The Similar performance metrics allow viewers to watch those similar videos that you had watched or would watch. It recommends videos that the same channel viewers have watched, and this “Collaborative Filtering” is a prime focus for algorithms. 

  • The algorithm identifies users with similar interests and forms clusters based on everyday engagement and shared interests. Then YouTube recognizes groups’ preferences and starts showing recommendations based on them.

Besides, mentioning competitors’ channels or using specific keywords with YouTube channels or tags helps filter the suggestions. YouTube is a complex set of factors that carefully analyzes and understands users’ activity before suggesting random videos.

How do you stop YouTube recommendations?

YouTube’s random recommendations are integral to showing users new and entertaining content. Despite the advantages of offering new and exciting videos, it suggests uninterested and irrelevant content. 

Therefore, stopping or modifying the recommendations for better suggestions becomes essential. In addition, to permanently prevent YouTube from suggesting irrelevant videos, you must turn off your watch and search history. So, hereunder is the step-by-step process to remove recommendations based on past searches.

Step 1- YouTube Data

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  • Open your YouTube account and click on the “profile icon” from the top-right corner, then select “Your Data In YouTube.”

Step 2- Disable watch history

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  • Then scroll down to navigate to “YouTube Watch History” and click on the blue “On” icon to turn it off.
  • Besides this, from its subsetting, you can choose “Include the YouTube videos you watch” or “Include your searches on YouTube.”

Note: YouTube will stop showing recommendations based on previous searches or watch history. However, it will suggest locations, current trends, or YouTube watch time.

How to Reset YouTube recommendations?

Resetting your watch and search history is essential to clear your current YouTube recommendations. With this, YouTube will relearn your preferences and not suggest videos based on past search history. It’s significant when experiencing a load of irrelevant videos because of previous history.

So, to reset your YouTube watch or search history, follow the hereunder step-by-step process:

Step 1- Open YouTube data

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  • Open your YouTube account and click the “Profile icon” from the top-right corner.

Step 2- YouTube Watch History

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  • Then click “Your data in YouTube” and scroll down to “YouTube Watch History” from the next window.

Step 3- Delete History

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  • Select “Manage your watch history” and click the “Delete” button.
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  • Click on “Delete All Time” and confirm to delete the associated watch history.

So, deleting either watch history or search history will remove both, and by the same method, you can clear your “YouTube Search History.”

Note: Deleting specific period history is handy if you have accidentally watched a video and can be removed by opting for the “Delete Today” option. In addition, “Custom Range” provides a more specific time to delete your watch or search history.

Moreover, YouTube allows an automated delete option to clear your YouTube History more often. It provides three, 18, and 36 months to remove older suggestions from your feeds.

Note: After clearing your search or watch history, YouTube requires a specific time to clear and reset its recommendations.

Getting better YouTube recommendations

YouTube’s algorithm continuously adapts to user preferences and provides accurate and reliable recommendations. However, with recent updates, it started promoting new creators with a few views, and it’s essential to have better suggestions. Therefore, the enlisted methods will help in getting better recommendations.

Method 1- Channel Recommendation

It’s essential to let YouTube know what your recommendations you don’t like to further suggestions. For this, click the “three-dot” icon next to irrelevant videos and select “Not Interested” to let YouTube know you don’t care about it. 

In addition, not interested will not remove content from the list, and selecting “Don’t Recommend Channel” will stop further videos from the same channel.

Method 2- Remove Videos

If you have watched besides your interest, then it’s essential to remove that video to avoid similar interests. It’s easy to remove irrelevant videos that you have previously watched to prevent further identical recommendations.

  • First, from the YouTube “search bar,” click on “Remove” adjacent to specific irrelevant searches.
  • Second, go to the “YouTube History” page and click the “cross icon” to remove specific videos from the search or watch history.

Method 3- Private Browsing

Using a private browsing window without logging into your account allows you to watch videos without the influence of recommendations. Besides this, limit your YouTube account to yourself because otherwise, it will send mixed signals. Therefore, it will become difficult for YouTube to recommend videos according to specific interests.

YouTube relies heavily on the services of what you like and dislike by analyzing the duration of videos watched. So, you must keep watching videos according to your interest, which will help YouTube suggest better videos.

Conclusion

YouTube optimizes recommendations by analyzing active engagement and combining likes, subscribers, and comments. The algorithm provides better suggestions by analyzing preferences and previous search history. However, after recent updates, it started promoting new channels with fewer views to understand their content engagement.

Moreover, YouTube provides personalization and privacy settings to control and shape your recommendations according to your preferences. By actively tailoring your suggestions, you will enhance your entertainment with quality new and old content.

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John Doe

John Doe

I am John, a tech enthusiast with a knack for breaking down complex camera, audio, and video technology. My expertise extends to social media and electronic gadgets, and I thrive on making the latest tech trends understandable and exciting for everyone. Sharing my knowledge through engaging content, I aim to connect with fellow tech lovers and novices alike, bringing the fascinating world of technology to life.

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