We present techniques for the discovery of recommendation rules that describe the behaviour of a recommender system in localised areas of the product space.

We present techniques for the discovery of recommendation rules that describe the behaviour of a recommender system in localised areas of the product space.

We present techniques for the discovery of recommendation rules that describe the behaviour of a recommender system in localised areas of the product space.

To address this issue, we present techniques for automating the discovery of recommendation rules that are provably reliable and non-conflicting while�...

We present techniques for the discovery of recommendation rules that describe the behaviour of a recommender system in localised areas of the product space.

Bibliographic details on Automating the Discovery of Recommendation Rules.

May 3, 2024 � Recommendation engines utilize algorithms to analyze user data and preferences, generating personalized suggestions.

This document explains how to enable the IAM Recommender Response playbook in Security Command Center Enterprise to identify the over-permissioned identities.

We explore recommendation algorithms, e-commerce data-mining tools that use collective order history to suggest purchases, to assist with this. In particular,�...

Simplify and expedite reviews of authorization requests by using built-in business rules and logic. Use the predefined expression set templates and define.