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Preference Miner: A Database Tool for Mining User Preferences

Authors:
Markus Endres

Keywords: Preference; Personalization; Data Mining; Database

Abstract:
Advanced personalized e-applications require comprehensive preference knowledge about their users' likes and dislikes in order to provide individual product recommendations, personal customer advice, and custom-tailored product offers. Modeling preferences as strict partial orders with "A is better than B" semantics has proven to be very suitable in various e-applications. In this demo, we present the Preference Miner, a database tool for detection of strict partial order preferences hidden in the user' log data. With preference mining personalized applications can gain valuable knowledge about their customers' preferences, which can be applied for personalized product recommendations, individual customer service, or one-to-one marketing.

Pages: 52 to 53

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-558-6

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017