The idea of using user preferences to assist with information filtering and with providing the most “relevant” answers to queries has recently received some attention from th...
Abstract: Preference elicitation is often used in e-services to create product recommendations for their customers. We present an approach for applying preference elicitation techn...
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especia...
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...