Abstract: A system and method for constructing a natural language description of one or more objects in a virtual environment includes determining a plurality of properties of an object and an environment given a current viewpoint in a virtual environment. An object description is created using the plurality of properties where the object description reflects multiple display characteristics of the object in the virtual environment. Object descriptions in the virtual environment are combined by classifying objects in the virtual environment to condense a natural language description.

Abstract: A method and apparatus for optimizing information-retrieval related system performance based on users' communication relationships. Users' interactions and relationships with each other are tracked by a ‘relationship analyzer’ that queries multiple heterogeneous information sources, such as e-mail logs, organization charts, calendar entries, phone logs, etc. A data structure is created for each user reflecting the intensity of communication relationship with other users, and modified over time as the data in the information sources change. A relationship group is defined based on the data structure and preference or importance ratings for each type of communication relationship that includes each user's group of highest-priority other users. A derived relationship group may also be defined based on high-priority users of a user's highest-intensity relationships.

Abstract: A method and apparatus for optimizing information-retrieval related system performance based on users' communication relationships. Users' interactions and relationships with each other are tracked by a ‘relationship analyzer’ that queries multiple heterogeneous information sources, such as e-mail logs, organization charts, calendar entries, phone logs, etc. A data structure is created for each user reflecting the intensity of communication relationship with other users, and modified over time as the data in the information sources change. A relationship group is defined based on the data structure and preference or importance ratings for each type of communication relationship that includes each user's group of highest-priority other users. A derived relationship group may also be defined based on high-priority users of a user's highest-intensity relationships.