COLLECTION_NAME_items_for_item_recommendations
Collection to hold generated item-item similarities (by default 10 per item). No user_id_s
data is present. A Recommend Items for Item query pipeline stage can use the similarities to return item recommendations. For example, a query in which doc_id_s = docA
would return an ordered list of other doc_id_s
values for documents that are similar to document docA
, along with the similarities. For example: [("docB", 0.83), ("docC", 0.55), ("docD", 0.43), …, ("docK", 0.22)]
.COLLECTION_NAME_items_for_user_recommendations
Collection to hold recommended items for a user. By default the job creates 10 recommendations per user.COLLECTION_NAME_recs_aggr
Collection to hold the output of recommender aggregation jobs.COLLECTION_NAME_bpr_user_recs
and COLLECTION_NAME_bpr_item_recs
Collections for Bayesian Personalized Ranking (BPR) recs, user-item, and item-item (respectively).COLLECTION_NAME_content_recs
Collection for content-based recommender recs.COLLECTION_NAME_recommender_models
Collection that stores ALS models.COLLECTION_NAME_queries_query_recs
Collection for output of the Query-Query Similarity Job.BPR Recommender | Content-Based Recommender | Query-to-Query Session-Based Similarity | Default job name | |
---|---|---|---|---|
COLLECTION_NAME_item_recommendations | COLLECTION_NAME_bpr_item_recs | COLLECTION_NAME_content_recs | COLLECTION_NAME_query_recs | Default input collection |
COLLECTION_NAME_signals_aggr | COLLECTION_NAME_signals_aggr | COLLECTION_NAME | COLLECTION_NAME_signals | Default output collections |
COLLECTION_NAME_items_for_user_recommendations COLLECTION_NAME_items_for_item_recommendations | COLLECTION_NAME_bpr_user_recs COLLECTION_NAME_bpr_item_recs | COLLECTION_NAME_content_recs | COLLECTION_NAME_queries_query_recs | Recommendation type |
COLLECTION_NAME_user_item_prefs_agg
job provides input data for the ALS and BPR jobs and must run before them. See SQL Aggregations for details.COLLECTION_NAME_user_query_history_agg
job generates aggregations for user-item preferences from signal information.COLLECTION_NAME_items_for_user_recommendations
Query pipeline to generate recommendations of items for a user.
COLLECTION_NAME_items_for_item_recommendations
Query pipeline to generate recommendations of items similar to an item.
COLLECTION_NAME_queries_query_recs
Query pipeline to generate queries-for-query recommendations using a model created by the Query-to-Query Session-Based Similarity job.