Many Search engines offer a related query suggestion service. For instance, when you search for "Obama" the search engine can suggest the query "Is Obama Muslin?". This happens because both the queries have been submitted very frequently by different users in the same search session. In information retrieval this process is called Query Expansion. A common approach is to extract correlations between query terms by analyzing user logs.
The query log based approach shows its limit when you deal with real time events. In this case, there might be no time to accumulate past queries since events are happening right now. For dealing with real time search query expansion, a new idea is to extract fresh correlation from news events.
For instance, Sonia Sotomayor has been just confirmed to the high court.
Judd Gregg, is one of the supporters
And the algorithm nailed the correlation
Now compare the query suggestion provided by Google, where no correlations are provided since the event is too recent.
And compare with the query suggestion provided by Bing, where related search query log based are shown
I believe that leveraging both past query logs and real time news events can provided a more complete and updated query expansion service, since you leverage the best of both the worlds.
(PS: In addition, please note that both Bing and Ask are showing a related fresh video, while Google is not)