Situated Preferences and Preference Repositories for Personalized Database Applications

Contextual Preference Repositories for Personalized Query Answering

The emerging of ubiquitous computing technologies in recent years has given rise to numerous personalized applications where user preferences and contexts are key features in providing suitable individual product recommendation as well as in personalizing query results according to user profile. Following this trend, it is noticeable the increasing interest of database researchers in developing...

Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications

Advanced personalized e-applications require comprehensive knowledge about their user’s likes and dislikes in order to provide individual product recommendations, personal customer advice and custom-tailored product offers. In our approach we model such preferences as strict partial orders with “A is better than B” semantics, which has been proven to be very suitable in various e-applications. ...

COSIMA – Sales Automation for E-Procurement

E-procurement is one of the fastest growing application areas for e-commerce. Though B2B transaction costs could be reduced recently by establishing XML based standards for electronic product catalogs and data interchange, B2B sales costs are still high due to the amount of human interaction. For the first time we present a fully automated electronic sales agent for e-procurement portals. The k...

Preference mining and preference repositories: design, algorithms and personalized applications

Evaluation of Conditional Preference Queries

The need for incorporating preference querying in database technology is a very important issue in a variety of applications ranging from e-commerce to personalized search engines. A lot of recent research work has been dedicated to this topic in the artificial intelligence and database fields. Several formalisms allowing preference reasoning and specification have been proposed in the AI domai...