Abstract: Techniques are described for taking actions based on multidimensional profile matching. A system defines a multi-dimensional user space that describes users and a multi-dimensional product space that describes products. The system also generates, for a user, a user profile that represents a vector within the multi-dimensional user space and generates, for multiple products, product profiles that each represent a vector within the multi-dimensional product space. The system further maps the user profile to a recommendation vector within the multi-dimensional product space and compares the recommendation vector to vectors within the multi-dimensional product space represented by the product profiles. Based on the comparison, the system determines, from among the multiple products, a subset of the multiple products to recommend to the user and outputs an interface that includes a recommendation for the user.