# UsersItemHistoryRecommender **`class UsersItemHistoryRecommender`** 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.