User relevance model for IdealRelevanceModel
User-specific relevance models.
Background discount model: assumes the relevance of unseen items in a test subset with a pre-fixed gain value.
Relevance model in which the items in a preference subset with a value equal or above a threshold are judged as relevant.
Relevance model in which there is full, a-priori knowledge of the relevance of all the items in the collection.
Relevance model in which every item is judged as relevant.
Relevance model: deciding when an item is relevant to a user and the gain obtained for being recommended.
Copyright © 2016. All rights reserved.