doNotUse

Last updated
Save as PDF

Important: Only call parameters that you need. Personalization Cloud operates off a set of APIs that support many applications and clients concurrently.

http://recs.richrelevance.com/rrserver/api/doNotUse

Note: The URL requires the API key and parameter(s) to function properly. See below for more information on example URL requests.

Description: this marks a product that should not be used for recommendations from myRecs. The product will not be used as a basis for personalized recommendations from myRecs.

Parameters

Note: All paramets are case sensitive.

Name	Required or Optional	Description
apiClientKey	Required	A unique key specific to each API implementation. It identifies the specific application or client for reporting, permissions, and merchandising. This is provided by RichRelevance. Example: apiClientKey=b0126f995ac848159d
apiKey	Required	A unique key that identifies the site. Each RichRelevance client has a unique API key to separate data and traffic from other clients. This is provided by RichRelevance. Example: apiKey=4faeaf752ee40a0f
productId	Required	A single product ID, or a list of product IDs. Part of an order definition on the purchase complete page. Use the pipe "\|" character to separate the product IDs. Example: productId=uv2345\|xt1234
sessionId	Required	Identifies a single visit by a shopper. Sessions are used by behavioral models (to scope user behaviour in a shopping session) and reporting metrics. Example: sessionId=93484
userId	Required	User ID. A unique string to identify each shopper (user). All shopper behavior is stored using this key. It is case-sensitive, and should be the same user ID sent to RichRelevance in other applications. Example: userId=0982347

Example Request

http://recs.richrelevance.com/rrserver/api/rrPlatform/doNotUse?&apiClientKey=e9c9e05289be70e6&apiKey=showcaseparent&userId=1&sessionId=1&productId=17177141

Response

This call has no response. Instead, a cookie is set so that the recommendation is no longer displayed to the user, and Algonomy is notified to update its recommendation models.