Abstract: Document tags are rapidly indexed using a text based index and a graph index. A tag signal is received. A tag and a type of the tag that are located in the tag signal are stored in a data store. The tag is indexed as a tag document in the text based index. One or more relationships between the tag and a content document are managed in the graph index.

Abstract: Documents are ranked with topics within a graph. A user, a tag, and a document are placed as nodes in a graph. One or more relationships are established between the user, the tag, and the document. The nodes are connected with edges acting as the one or more relationships. The tag is promoted into a topic based on the one or more relationships.

Abstract: A search environment of an embodiment includes name mining and matching features used in part to identify people-centric queries and provide an enriched search experience, but is not so limited. A method of an embodiment operates to provide an expanded query based in part on a geometric similarity measure, an edit distance measure, a string similarity measure, and a cumulative similarity measure. A search system of an embodiment includes a mined candidate generator component and a name matcher component used in part to identify name queries and provide an expanded query that includes original query terms and one or more valid mined names. Other embodiments are also disclosed.

Abstract: A search environment of an embodiment includes name mining and matching features used in part to identify people-centric queries and provide an enriched search experience, but is not so limited. A method of an embodiment operates to provide an expanded query based in part on a geometric similarity measure, an edit distance measure, a string similarity measure, and a cumulative similarity measure. A search system of an embodiment includes a mined candidate generator component and a name matcher component used in part to identify name queries and provide an expanded query that includes original query terms and one or more valid mined names. Other embodiments are also disclosed.

Abstract: Expertise mining features are provided based in part on the use of an expertise mining algorithm and expertise mining queries. A method of an embodiment operates to provide an expanded feedback query based in part on search results using an expertise mining query and a number of author-ranking heuristics used to rank authors and/or co-authors (e.g., primary authors, secondary authors, etc.) as part of an expertise mining operation. A search system of an embodiment includes an author ranker component to rank authors based in part on an expertise mining query and author-ranking heuristics, and a query expander component to provide expanded queries as part of identifying relevant search results. Other embodiments are also disclosed.