16. A system for providing search results, the system comprising: a memory; a processor; and a component that is stored in said memory, that executes on said processor, that receives a query from a user, that determines that said query is answerable, in part, with subjective information, that obtains objective results corresponding to the query from a corpus of information, that identifies one or more people in a social graph whose relationship to said user meets a closeness condition and who have an aspect of relevance to said query, that creates person results that comprise a portion of said one or more people, that creates, for each of said one or more people, an explanation of each person's relevance to said query, and that provides, to said user, a set of results that comprise said objective results and said person results; a classifier that is trained to identify queries that are answerable with subjective information, said classifier being trained on training data that comprises: a plurality of positive examples in which people were provided as search results and in which users who requested the results clicked on the people in the results; and a plurality of negative examples in which people were provided as search results and in which users who requested the results did not click on the people in the results; said component using said classifier to determine that said query is answerable, in part, with subjective information.
16. A system for providing search results, the system comprising: a memory; a processor; and a component that is stored in said memory, that executes on said processor, that receives a query from a user, that determines that said query is answerable, in part, with subjective information, that obtains objective results corresponding to the query from a corpus of information, that identifies one or more people in a social graph whose relationship to said user meets a closeness condition and who have an aspect of relevance to said query, that creates person results that comprise a portion of said one or more people, that creates, for each of said one or more people, an explanation of each person's relevance to said query, and that provides, to said user, a set of results that comprise said objective results and said person results; a classifier that is trained to identify queries that are answerable with subjective information, said classifier being trained on training data that comprises: a plurality of positive examples in which people were provided as search results and in which users who requested the results clicked on the people in the results; and a plurality of negative examples in which people were provided as search results and in which users who requested the results did not click on the people in the results; said component using said classifier to determine that said query is answerable, in part, with subjective information. 17. The system of claim 16 , said aspect of relevance being based on a comparison of words in said query with attributes of people in said social graph.