People usually prefer an easy way to accomplish their daily work. So, now they are least interested in typing, since the voice assistants came into existence. This same concept is applicable for web search too. And now, a new AI-based concept has emerged to compete with Pinterest.
Google has brought Keen to compete with its rival Pinterest. They are both serving the same purpose with the help of AI and its Machine Learning abilities. When you browse something, Pinterest picks up your choices and shows the alike predictive topics. Keen will turn out to be the alternative one with more choices in your news feeds.
Gathering the Data
All the research data and analysis are done by a team named Area 120, which belongs to Google. After that, they have created certain experiments with the customer data from the various search results and services. A long span of research and development resulted in the launching of Keen. Today, it is available on PC, as well as on mobile platforms.
Are you spending more time on Keen?
Certain statistical data states that people are starting to spend more time on Keen. But, there is no sign of competitive data about the people who are using Keen, when compared to the ones using Pinterest. Obviously, you get more accurate contents based on your interests automatically with Keen. The topics usually belong to various domains starting from cooking, mending, technology, and others.
What Keen actually does?
Apart from showing the search results based on your interests in the web search engine, it also allows you to see more latest contents that are published recently. Moreover, it also connects with your social media platforms, with your permission. After that, it analyses the interests that you have displayed in the social network.
After gathering all the information from there, it stabilizes and shows all of your desired interests. Moreover, Google has come up with a new idea. Apart from gathering information on other interests, Keen will also extract data about your hobbies and interests.
What should you choose, Pinterest or Keen?
Keen has perfect expertise in the field of Artificial Intelligence and Machine Learning. The algorithm that runs the program delivered is more activities in matching with your interests, than with other similar websites.
Each and every bit of the contents act like the clusters of data seeds. With the help of the AI algorithm, it processes the data seeds and discovers more contents from time to time. This process helps you to reduce the time that you impart in any research.
According to all the research and analysis, it seems that Pinterest has not invested too much in the field of AI and Machine Learning. Rather than that, they have invested in the content classification, the system builds, and taxonomy systems. Now, let’s get to know more about them:
Pinterest generally has its own taxonomic management system. The presence of this type of system helps in understanding several content, items and features. The working procedure is quite simple for people who understand the concept of AI taxonomy.
The procedure also delivers the classification of each entity which is based on content relationships. Thus, for improving the perfection of AI and its respective models, a certain platform is also involved in search and distinguishing the tasks.
There is some information that you must know about Pinterest’s taxonomy. It supports more than 17 languages that are used over 20 nations worldwide. Many languages are ought to be added in the future. It also organizes all the popular topics of your interests by analysing the entire platforms to which you are connected.
The category of your interests also displays ads and other contents, which are in the tree-like structure. It looks like the computer data structure. The main thing you have to keep in mind is that the inheritance always occurs from its own parent class or node.
The System Builds on Pinterest’s Taxonomy
With due respect, the system built of the taxonomy is based on a sophisticated graph. The network of the graph contains more than 3 billion nodes working with 19 million edge nodes. That is why the pins that hold your interests create a web-scale graph. That is why the performance that Pinterest delivers has gained over more than 46% over the past few years.
The Content Classification
The mechanism of taxonomy is solely based on the classification of its contents. In other words, you can say that the taxonomy wouldn’t have existed without taxonomy. That is why the technical team on Pinterest gives the main focus on classifying the system embedded information into the audio, as well as visual inputs.
Data Collection of Google
As Google doesn’t follow any sophisticated methodologies, that is why it is still unknown to people what insight data exactly they collect to show you the interests. On the other hand, when you log in to Keen with your Google account, you also get private data privacy as well. Experts believe that Google’s intelligent learning systems have some type of algorithm that collects data. Google might release some information about them in the future.
As time will pass, Keen will match more and more contents easily. This will happen just because of you. If you discover more interests in various topics, then it will show you more matches of your desired interests. Google always suggests you use both desktop and mobile versions of Keen depending upon your present situation.