Researchers can leverage the latent knowledge created within search communities by recording users' search activities - the queries they submit and results they select - at the community level. They can use this data to build a relevance model that guides the promotion of community-relevant results during regular Web search. This discusses the collaborative Web search approach that promotes the idea that community search activities can provide valuable form of search knowledge and sharing of this knowledge makes adapting traditional search-engine results possible.