our great Features
Crossing Minds is democratizing access to recent gains in artificial intelligence research by building the world's best content recommendation platfm.
As a team of researchers with backgrounds at top institutions, we have developed a set of content recommendation engine and collaborative filtering algorithms that performs while being also the first application of group recommendation technology (recommending bundles of content to multiple people simultaneously) in a live consumer product.
Crossing Minds is Deploying a Universal Recommendation API.
Crossing Minds is in the process of creating a universal recommendation API that can be integrated into your business with minimal effort. We implement efficient algorithm that eliminate the recommendation guesswork for current users and when onboarding new users.
Our exceptional team walks you through the process of data collection and implementation so you can get a solution unique to your business and customers. We focus on recommendation accuracy while protecting the privacy of user data.
Interested in trying our Recommendation API for free?
We are very exited to share our newly released Recommendation API, which businesses can utilize to offer their customers the best recommendations possible.
If you are interested in being among the first to try it out, please answer the interest form. Our team will reach back to you as we are processing the flow of applications. Thanks!
How to make the best of our Recommendation API
Cold Start Problem
For a first time user of your brand, attempting to provide recommendations without data-sets reflecting interests and tastes can be challenging, this is what we would categorize as a cold-start problem.
Our API has been build with this problem in mind, and can help you being relevant to any new users, concretely increasing your short-term retention
Cross Domain Recommendations
We are able to build a “digital DNA” through the embedding of information gathered cross-platform by creating an anonymous mathematical representation of a consumer that contains all their tastes and behaviors. This gives any company an obvious competitive advantage and can further be leveraged for numerous predictions and analyses such as recommendation engines, churn prediction and predictive lead scoring.
Because of our improved embeddings, marketing teams can perform segmentation and audience targeting which provides a more accurate idea of the outcome or necessary strategy adjustments regarding specific campaigns, resulting in better customer understanding, better marketing insights and reduce media costs.