-
-
-
...different research areas relates to user modeling are reviewed; examples of some techniques for building user models through natural language interaction and observed behavior in other media channels are given. furthermore, the uses of user models in natural language dialog systems are discussed, as well as the implications of employing user models. it is concluded that natural...
Published in 2002.
-
...any time, at any place, and in any form, but specifically to say the orighto thing at the orighto time in the orighto way. designers of collaborativehuman- computer,systems,face the formidable,task of writing software for millions of users (at design time) while making...
-
...search experience is to connect the extraction process with user modeling, particularly wi th automatic methods for inferring user in- formation needs and anticipated interaction patterns. in t his paper we overview some recent efforts for user modeling and inferring user preferences in the contextof closing the gap between web information extraction and user modeling....
-
...we present a system for learning and utilizing context-de- pendent user models. the user models attempt to capture the interests of a user and link the interests to the situation of the user. the models are used for making recommendations to applications and...
-
...to providing assistance to a user is the issue of correctly determining the user's intent. the c.lavin project is to build an intelligent...must mmn- tain a dynamic user model of the relevant concepts in the user inquiries as they relate to the information sources. the primary goal of clavin is to antonomously react...
-
...asks questions about specific aspects of the tasks they want to perform. but most of the time it is difficult for the software systems to unambiguously understand their...information retrieval system is a user-centered product based on the development of a user configurable visitor mechanism for managing and retrieving project information without worrying too much...
-
...through personalization. up to now, the most common approach for personalization in dls has been user driven. nevertheless, the design of efficient personalized services has to...construct dls that satisfy a user's necessity for information: adaptive dls, libraries that automatically learn user preferences and goals and personalize their interaction using this...
-
...probabil- istic framework based on the dynamic bayesian networks to dynamically and stochastically model the user's internal state, profile, the...closed loop to fine-tune the assistance and to adapt the interface to the user. all these meth- ods help...