Marissa Mayer who is Google’s Vice President of Search Product and one of the public faces of Google, interviewed with Venturebeat about Google’s interest in social search and their future plans in that area. She says that Google has different ideas to implement social search. Some of them are,
Labelling: With labeling, Google users could annotate the search results and those notes could then be shared with friends on their social network or with others like them.
Other user like you: Google takes a page from Amazon’s book, and adding “others like you searched for …” or “other people who did this search also did searches…” to Google’s search results.
Social Network Integration: To identify your friends and allow them to influence search results. For example, if someone has 300 friends on Facebook, and this person knew 10 of them all searched for one topic today, that might interest him.
Social-Influenced PageRank: People would attribute more authority to the pages that their friends have visited. So if Google took Web History and allowed that data to influence rankings, so that pages that your friends have visited were now bumped up in your search ranking, that that might be a good augmentation to something like personalized search.
Other people powered search engine services are,
mahalo.com provides search results edited and submitted users and paid guides.
wikia.com is based on the concept of Wikipedia, allows users to edit the search results.
eurekster.com is a do-it-yourself search engine, or swicki, allows you to define sites you want to search, post the results on your blog or website, and get a cut of any search ads your audience clicks on. It has global reach in over 15 countries.
It seems delivering the right message to the right person will be much more effective with social search engines.
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