Recommendations
COLLECTION_NAME_bpr_item_recs, a BPR Recommender job is already created and configured to produce items-for-user recommendations.
This is the recommended job type, and produces better results with a short runtime. Download the APPName_item_item_rec_pipelines_bpr.json file and Migrate Managed Fusion Objects to create the query pipeline that consumes this job’s output. See Fetch Items-for-User Recommendations (Collaborative/BPR Method) for details.
Migrate Managed Fusion Objects
| Export an app | Import an app | Export an object | Import an object | Add an object to an app | |
| Fusion UI | App configuration | Launcher (entire app) App configuration (combine apps) | - | - | Object Explorer |
| Objects API (endpoints) | GET from export endpoint | POST to import endpoint | GET from export endpoint | POST to import endpoint | - |









Fetch Items-for-User Recommendations (Collaborative/BPR Method)
APPName_item_user_rec_pipelines_bpr.json file.
APPName with the name of your Fusion app, such as ProductCatalog_item_item_rec_pipelines_bpr.json.
APPName with the name of your Fusion app, such as ProductCatalog, and save it.
userId field and only returns the recommended itemId values. To get the actual items, you need to make a second query to the respective catalog collection with the returned itemId values.APPName_items_for_user_bpr_boost.json file
APPName with the name of your Fusion app, such as ProductCatalog_items_for_user_bpr_boost.json.APPName with the name of your Fusion app, such as ProductCatalog.collection name field in the first Recommend Items for User stage and save the file.id=<userId> to be appended to the request in order to work. An example query URL to this pipeline would look like https://example-recs-fusion.com/api/query-pipelines/APPName_items_for_user_bpr_boost/collections/catalog/select?q=**:**&id=SomeUserId