Abstract: Search results are displayed according to relevance and grouped by the social distance between the person associated with the profile and the user performing the search. Metadata is defined of each of the profiles indicating groups affiliated the profile and a relevance value is determined as a function of the metadata for each of the profiles in the result set. The social distance is determined as a function of a colleague designation associated with the profile.

Abstract: Providing enterprise and targeted content to a personalized portal at a client device in a distributed environment. An administrator managing the distributed environment defines a plurality of workspace pages to be displayed to a user via the portal. The portal also includes a personalized page. The administrator determines workspace content to be provided to the user on the workspace pages via the portal, and the workspace content includes a set of predetermined content parameters. Targeted content is selected from the workspace content as a function of user profile data and the set of predetermined content parameters. The arranged targeted content and personalized content are rendered on the pages via the portal.

Abstract: The present invention facilitates determining a shared context between users of a computer system and dynamically generating a display of the shared context of one user from the perspective of the other user. The data from which a shared context between users may be determined includes data indicating that the users have something in common. Among other data, data indicating that the users have something in common may include data indicating a relationship, past or present, or direct or indirect, between the users. Alternatively, or in addition, data indicating that the users have something in common may include associations with the same individuals, communities, activities, or other special interests, whether those associations are past or present, and explicit or implicit.

Abstract: Systems and methods for automatically recommending a personal network. The systems can include a review module programmed to review communication information. The systems can also include a recommend module in data communication with the review module, the recommend module being programmed to identify one or more contacts from the communication information to be included in a personal network. The recommend module can use a significance function to weight the communication information and rank the contacts identified in the communication information.