UsersItemHistoryRecommender

class UsersItemHistoryRecommender(*args, **kwds)

recommend_on_user_items | Recommend items based on users item interaction history

pydantic model PluginConfig

Fields

• count (int)

• last_days (int)

• target_fields (List[str])

PluginConfig.plugin_name: ClassVar[str] = 'recommend_on_user_items'

Used to register and reference the plugin within a query.

field PluginConfig.target_fields: List[str] = ['title', 'body', 'nlp_tag__phrases']

Target fields that are used to perform tf-idf similarity matching on.

field PluginConfig.count: int = 6

Amount of items in the history to use for recommendation

field PluginConfig.last_days: int = 30

Date range in days to consider user search activities.