Delver.com today unveiled an alpha version of the first true social search engine. Delver maps a user’s social connections then delivers comprehensive Web search results ranked according to their social relevance to that user.
Delver, based on the user’s search query, organizes and ranks publicly displayed content, found on social networking profiles, web sites, blogs, bookmarks, and photo and video sharing sites from the user’s online social network. A ‘breadcrumb’ is shown next to each result, showing how that result is related to the user, thus qualifying its relevance.
“Delver is designed to ‘delve’ into your online social graph to generate search results gathered from your friends, your network and your friends’ networks, to help you find information more relevant to you as an individual,” said Liad Agmon, CEO of Delver. “We prioritize results based on your network to make Web search more fun and meaningful, while enabling you to discover others in your extended network who share common interests.”
Delver also gives users the ability to tap into the content and network of people whose opinion they value by adding them as ‘Search Buddies’. Delver prioritizes results from ‘Search Buddies’ and their network as if they were the users’ friends. Furthermore, Delver provides a number of features for organizing and retaining the information found as a result of a search query. When results are yielded, user’s may choose the “keep it” option, which stores the selected links in the appropriate categories for compiling lists or easier reference later on.
Though Delver.com is in an early stage of product development, it demonstrates the great potential and necessity of social search. Delver currently covers Myspace, Blogger, Flickr, LinkedIn, Youtube, Hi5, FriendFeed, Digg and Delicious; other sources, such as Facebook and the top blogging platforms will be added to the service over the next few months.