Knowledge platform gauges the interest level of the user about a topic based on the sum of the scores for correct and incorrect answers associated with the topic.
which more precisely measures the level of a person's ability in their knowledge to know more about their knowledge should bnyak learn knowledge.
The point is measuring "interests" is commonly done in ad tech, but measuring the amount of knowledge a person has or does not have about topics has never been used as a method for targeting people in the history of marketing.
https://medium.com/knowledgeio/q-who-benefits-from-knowledge-io-fb1d0c44773eWe are able to provide more sophisticated innovation than the targeting methods used by today’s common ad tech platforms. Most use content consumption as a key targeting variable, meaning, they’re focused on what you read or view or interact with on the internet - INTERESTS - whereas Knowledge.io focuses on how much (or little) you know about what you read or view or interact with on the internet - KNOWLEDGE.
In fact, I did some research on this method, and I have not found any company that has used this method before, and I'm so excited about this new targeting method. However, what worries me is how to apply this in practice, how the platform will be able to check maybe millions of answers and give us a score.
Do questions will be on like this way ?
- Question ?
1- answer
2- answer
3- answer
==> Choose the correct answer
If the answer is yes, I think the type of knowledge will be limited and looks like polls and survey which are already done by brands.
I'm looking for you answer for deep understanding.
Yes, the format of the Q&Ads units and quiz questions within syndicated content are multiple choice format. There are additional formats than the one you present above, and the ads can actually be multiple questions in a sequence which has a fixed path or has a conditional path based on the previous answer selection - kind of like a choose your own adventure. So advertisers can ask series of questions within the ad unit or syndicated content. We also will support multiple answer selections as the correct answer. There are a few more types we're looking into.
Consider that the ads and content can be incorporated into any publisher's app, website, and we'll be looking into more immersive experiences such as games and AR/VR.
Since we're planning on implementing a Knowledge OpenID Server, users will be able to stay logged in within browser sessions which allows us to do some really awesome stuff with the Marketplace products and purchases. No CC or SSL required. Just our wallet.
Regarding the practicality of calculating and generating a Knowledge Score, it's more that there are multiple Knowledge Scores around topics or topic sets.
The targeting method you are referring to at the beginning of your comment is the ability to target ads and content to users based on how much or how little they know about topics. That is the patent we filed for Knowledge Scores.