Learning from Data Streams in Evolving Environments by Moamar Sayed-Mouchaweh

Learning from Data Streams in Evolving Environments by Moamar Sayed-Mouchaweh

Author:Moamar Sayed-Mouchaweh
Language: eng
Format: epub, pdf
ISBN: 9783319898032
Publisher: Springer International Publishing


2 User Preference Dynamics

We present background definitions that ground the applicability of our proposed model in this article for processing evolving network stream. The following concepts have been proposed in [18].

2.1 User Preferences

According to [14], a preference is a comparative opinion that establishes an order relation between two objects. For example, when a user says “I prefer to read news about politics than sports” we can identify a preference of politics over sports.

A preference relation on a finite set of objects on a running domain A = {a1, …, an} is a strict partial order over A, represented by ≻. We denote by a1 ≻t a2 the fact that a1 is preferred to a2 at time t. The transitive closure (TC) of all preference relations of a user u at t composes u preferences at t, denoted by . As example, let A = {sports, politics, religion} be the set of objects in our running domain. We have and .



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