Preference Miner: A Database Tool for Mining User Preferences

Markus Endres
unpublished
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. Mod-eling 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
more » ... eferences hidden in the users' 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.
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