Abstract: Techniques are disclosed for a user interface that provides active assistance to discover, investigate, refine and save multiple topics of interest, i.e., a topic incubator where user interests are discovered, quickly developed to maturity and preserved. Each topic may have an independent topic interface with independently suggested topics. In each topic interface, users may control topic development by selecting saved topics, dynamically suggested topics and manually entered topics. Suggested topics may be based on saved interests, related interests and/or browsed content. Suggested topics may differ between topic interfaces and may change with topics. Suggested topics may be continuously refined or updated based on existing topics, changed topics, selected suggested topics and selected content. Users control treatment of selected topics individually or as refinements of (combinations with) other topics to create compound topics.

Abstract: In one embodiment, access a first one of one or more network resources, the first network resource comprising one or more keywords. For each of the keywords of the first network resource: request a search engine to conduct a search on the keyword; obtain one or more second ones of the network resources identified by the search engine as a result of the search conducted on the keyword; and associate the second network resources identified for the keyword with the keyword. Rank the keywords of the first network resource according to their relative degrees of popularity based at least on a number of the network resources tagged with the keyword. Visually distinguish the keywords of the first network resource according to their popularity ranking.

Abstract: Techniques are disclosed for a user interface that provides active assistance to discover, investigate, refine and save multiple topics of interest, i.e., a topic incubator where user interests are discovered, quickly developed to maturity and preserved. Each topic may have an independent topic interface with independently suggested topics. In each topic interface, users may control topic development by selecting saved topics, dynamically suggested topics and manually entered topics. Suggested topics may be based on saved interests, related interests and/or browsed content. Suggested topics may differ between topic interfaces and may change with topics. Suggested topics may be continuously refined or updated based on existing topics, changed topics, selected suggested topics and selected content. Users control treatment of selected topics individually or as refinements of (combinations with) other topics to create compound topics.

Abstract: Techniques are described herein for providing content to a user from multiple sources based on interest tag(s) that are included in an interest cloud. An interest cloud is a tag cloud that includes interest tags, which correspond to respective interests of a user. An interest of a user is subject matter that is deemed to have a greater importance than other subject matter to the user based on information that pertains to the user. For example, an interest of a user may be derived from information in the user's emails, social update streams, web browsing history, a content element that is selected by the user, content that is received from a source that is selected by the user, etc. In another example, a user may designate subject matter as being an interest of the user.

Abstract: Techniques are described herein for selecting content based on interest tags that are included in an interest cloud. An interest cloud is a tag cloud that includes interest tags, which correspond to respective interests of a user. An interest of a user is subject matter that is deemed to have a greater importance than other subject matter to the user based on information that pertains to the user. For example, an interest of a user may be derived from information in the user's emails, vitality streams, Web browsing history, etc. In another example, a user may designate subject matter as being an interest of the user. For instance, if a user adds an interest tag to an interest cloud, subject matter that corresponds to the interest tag is said to be an interest of the user.

Abstract: In one embodiment, access a first one of one or more network resources, the first network resource comprising one or more keywords. For each of the keywords of the first network resource: request a search engine to conduct a search on the keyword; obtain one or more second ones of the network resources identified by the search engine as a result of the search conducted on the keyword; and associate the second network resources identified for the keyword with the keyword. Rank the keywords of the first network resource according to their relative degrees of popularity based at least on a number of the network resources tagged with the keyword. Visually distinguish the keywords of the first network resource according to their popularity ranking.