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Trending items recommendation engine

Rank recommend endpoint considers all kind of possible parameters in your application such as user behavior, item co-relation, external impact, business impact and returns the trending items for a given interval as response. You can use it on user feed, top page, personalized suggestions etc.


To use this feature, you must first set up the key parameters for the ranking model via the endpoint POST /v1/ranks/settings.

You can find the required parameters with their description and an example request body here.

You can always check the current setting using GET /v1/ranks/settings and update the setting using PUT /v1/ranks/settings.


Once the above setting is done, then you can set up the feature for showing trending items using the below request path:

POST /v1/rank/recommend

To implement this solution, the required parameters with their description and an example request body can be found here. You can find sample code for implementation here.