Findsi is a unique kind of recommendation-engine that goes beyond the “people who bough this, also bought that” kind of suggestions. Findsi’s recommendations are extrapolated from user activity logs, which all API consumers feed into the system. Given the input is user specific, so is the output. Another strongpoint of Findsi, is that it determines recommendations based on all of the accumulated logs, not just the logs provided by single API consumer. As a result, user activity within system A may affect recommendations for that same user in system B.
External applications and systems can interact with Findsi through the REST API exclusively. For increased discoverability, all response messages will be JSON serialized Hypertext Application Language (HAL) documents.