The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users Export

@inproceedings{citeulike:1269522, abstract = {The Lumi`ere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled in Lumi`ere research, including (1) the construction of Bayesian models for reasoning about the time-varying goals of computer users from their observed actions and queries, (2) gaining access to a stream of...}, address = {Madison, WI}, author = {Horvitz, E. and Breese, J. and Heckerman, D. and Hovel, D. and Rommelse, K.}, booktitle = {In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence}, citeulike-article-id = {1269522}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.8472}, keywords = {bayesian, computing, inference, modeling, user}, month = {July}, pages = {256--265}, posted-at = {2007-05-14 23:50:35}, priority = {4}, title = {The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.8472}, year = {1998} }

TY - CONF ID - citeulike:1269522 L3 - citeulike-article-id:1269522 N2 - The Lumi`ere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled in Lumi`ere research, including (1) the construction of Bayesian models for reasoning about the time-varying goals of computer users from their observed actions and queries, (2) gaining access to a stream of... AD - Madison, WI EP - 265 TI - The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users T2 - In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence SP - 256 KW - bayesian KW - computing KW - inference KW - modeling KW - user AU - Horvitz, E AU - Breese, J AU - Heckerman, D AU - Hovel, D AU - Rommelse, K PY - 1998/July// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.8472 ER -