poprox_recommender.components.diversifiers.mmr

Functions

compute_similarity_matrix(todays_article_vectors)
mmr_diversification(rewards, ...)

Classes

MMRConfig(*[, theta, num_slots])
MMRDiversifier([config])

class poprox_recommender.components.diversifiers.mmr.MMRConfig(*, theta=0.8, num_slots=10)

Bases: BaseModel

Parameters:

• theta (float)

• num_slots (int)

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class poprox_recommender.components.diversifiers.mmr.MMRDiversifier(config=None, **kwargs)

Bases: Component

Parameters:

• config (MMRConfig)

• kwargs (Any)