Fast contextual preference scoring of database tuples

To provide users with only relevant data from the huge amount of available information, personalization systems utilize preferences to allow users to express their interest on specific pieces of data. Most often, user preferences vary depending on the circumstances. For instance, when with friends, users may like to watch thrillers, whereas, when with their kids, they may prefer to watch cartoons. Contextual preference systems address this challenge by supporting preferences that depend on the values of contextual attributes such as the surrounding environment, time or location. In this paper, we address the problem of finding interesting data items based on contextual preferences that assign interest scores to pieces of data based on context. To this end, we propose a number of pre-processing steps. Instead of pre-computing scores for all data items under all potential context states, we exploit the hierarchical nature of context attributes to identify representative context states. ...

• Type: Conference
• Year: 2008
• Where: EDBT
• Authors: Kostas Stefanidis, Evaggelia Pitoura
• Keywords: Contextual Preferences, Database, EDBT 2008, Systems Utilize Preferences, User Preferences