Items-for-user recommendations use the Recommend Items for User query stage to present items that are similar to ones in which the user has previously shown interest, based on the user’s search history, browsing history, purchase history, and so on. This is one type of collaborative recommendation.
If you have enabled signals and recommendations for a collection, then the default
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 import it to create the query pipeline that consumes this job’s output. See Fetch Items-for-User Recommendations (Collaborative/BPR Method) for details.