Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: The Lumiere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be em­ ployed to infer a user's needs by consider­ ing a user's background, actions, and queries. Several problems were tackled in Lumiere 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) gain­ ing access to a stream of events from soft­ ware applications, (3) developing a language for transforming system events into observa­ tional variables represented in Bayesian user models, ( 4) developing persistent profiles to capture changes in a user's expertise, and (5) the development of an overall architecture for an intelligent user interface. Lumiere proto­ types served as the basis for the Office Assis­ tant in the Microsoft Office '97 suite of pro­ ductivity applications.

The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users