User preferences are a crucial input needed by recommender systems to determine relevant
items. In single-shot recommendation scenarios such as content-based filtering and …

Although interactive learning puts the user into the loop, the learner remains mostly a black
box for the user. Understanding the reasons behind predictions and queries is important …

The paper presents a focused survey about the presence and the use of the concept of
“preferences” in Artificial Intelligence. Preferences are a central concept for decision making …

In a world of electronic calendars, the prospect of intelligent, personalized time management
assistance seems a plausible and desirable application of AI. PTIME (Personalized Time …

Two problems may arise when an intelligent (recommender) system elicits users'
preferences. First, there may be a mismatch between the quantitative preference …

We address user system interaction issues in product search and recommender systems:
how to help users select the most preferential item from a large collection of alternatives. As …

A critical factor in the success of decision support systems is the accurate modeling of user
preferences. Psychology research has demonstrated that users often develop their …

In this paper we propose an approach to preference elicitation that is suitable to large
configuration spaces beyond the reach of existing state-of-the-art approaches. Our setwise …

Computer users encounter configuration on daily basis. Whether when they customize an
application they use, customize how a new application is installed, or just customize a query …

PriCal is an ambient calendar display that shows a user's schedule similar to a paper wall
calendar. PriCal provides context-adaptive privacy to users by detecting present persons …