PUBLIC MARKS with tag "social search"

such2.com supports a new social search function that runs searches directly on your favorite websites or frequently used websites.

"秋頃をめどに新サービスが展開されるとのことで、尾下氏は「検索と組み合わせてソーシャル・サービスを展開したい。携帯でソーシャル・ブックマークとの手軽な連携は難しい面もあるが、ユーザーによるレーティングをさかんにしていきたい。検索がソーシャル化している姿を、将来お見せできると思う」と自信を語るとともに、「Googleの携帯向け検索サービスなどは、携帯に完全に特化されていない。Googleを導入した企業が本当に満足しているかも疑問。そういったところに我々の入る余地がある。Yahoo!とGoogleの支配に一石を投じられるような新たな展開も行いたい」と携帯専門サービスを提供する同社のスタンスを明らかにした。 "

If Web 1.0 was about linking information then Web 2.0 is really about linking people as pointed out by Mills Davis from Project10. The social network phenomenon is creating an unprecedented and growing amount of buzz and is already channeling significant amounts of traffic around. IceRocket Blog Trends reports about 400 posts a day referring to the phrase "social network". Nielsen BuzzMetrics Blogpulse shows an increase of 200% in 6 months from 0.015% blog share of voice in March 2007 to over 0.045% in September 2007.

Enter social book marking. People save their bookmarks online (in sites like del.icio.us) and post links to their favorite sites (in sites like digg and reddit). In a way, people that use these sites act as smart agents and add to these big databases the most liked sites on the web. No company could compete with the man hours people put in saving and tagging their bookmarks. No algorithm could calculate site quality better than humans. 50 matches is in this search evolution junction. We crawl only sites that were bookmarked , "dugg" or "reddit'ed" by combining human indexing with machine indexing. A real social search engine with search results - quality no one can compete with! We return only 50 matches - if there is a quality result to your search - it's here!

Social search engines are working hard at developing a dialog with their user-base requesting feedback and encouraging engagement. Most are building search on the premise that people can add a whole lot more incremental value on top of traditional keyword matching algorithmic engines. Adoption and ramping up usage is one of social search engines’ critical success factors to build scale, reach critical mass and generate that network effect to effectively surface that “people & community” value layer, although not everybody needs to be tagging, commenting, sharing, bookmarking for social search to be effective. TrailFire’s approach is pretty good. Discover what you are looking for on the Web using like-minded people’s trails. Trails can be private or public, shared via email, by posting them on any website or by publishing them on Trailfire.com. Following is TrailFire’s latest announcement from CEO John O’Halloran.

Lijit redesign - Who's Being Searched Right Now? Lijit redesigned their home page in the past days, giving it a “more open, roomy, and serene feeling”, “all the same functionality without the clutter”, according to the Lijit blog. You can still check out the old lijit home page from the Google cache and the new one as of this morning.

Social search democratizing revenue share models There is a shift taking place from pure algorithmic search to social search. The explosion of consumer generated media (CGM), the emergence of social search and the rise of the Net's culture of participation will eventually force a democratization of the Web's economics. There is a shift taking place from few with the power to users getting empowered. Content generating users (i.e. traffic, eye balls) will increasingly share the wealth. The Web is slowly but surely leveling the playing field for the rest of us in the tail.

Search is the OS enabling content applications to deliver media and information-related consumer experiences. Search is the Internet operating system enabling Social Search experiences and online Sentiment analysis. Social search is gaining quiet a bit of momentum these days. Social search is rising in popularity for about the same reasons Internet sentiment analysis, online buzz monitoring and brand reputation management are. Consumer generated content is exploding. 44% of internet users are content creators (PEW) and a significant ratio of the top 10 results for more queries are consumer generated media such as blogs and other content sharing and discovery engines. Advertisers follow consumers and the more content is authored by users, opinions and such, the more brands belong to the people. A few companies have developed pretty interesting data mining tools keeping track and monitoring buzz for ideas, trends, brands, products, and people … whatever online word-of-mouth channels.

Social search is gaining quiet a bit of momentum these days. Social search is rising in popularity for about the same reasons Internet sentiment analysis, online buzz monitoring and brand reputation management are. Consumer generated content is exploding. 44% of internet users are content creators (PEW) and a significant ratio of the top 10 results for more queries are consumer generated media such as blogs and other content sharing and discovery engines.

Integrated Behavioral Targeting. wunderLOOP technology integrates all available information to enable precise targeting of Internet users. It continuously analyses users’ current behavior – what they click or their queries in search engines, for example – and compares in real time the wunderLOOP customer’s market research data from AGOF, Nielsen NetRatings and comScore, to name but a few, and, with the user’s consent, in-house data such as CRM profiles.

Discovery Moves Beyond Search Internet search works well, particularly when you know the precise items for which you are looking. What happens, however, when you can’t find the magic words to type into your search box? Discovering the Wisdom of Crowds Successful media and retail players are continually looking for ways to expand content discovery and enable visitors to quickly identify what interests them most. The way this has been done in the past is to employ key-word searching or editorial-based recommendations to “recommend” additional content of interest. Because news and product content can change by the minute, it is extraordinarily challenging for human editors to keep pace with all but the most-visited news stories or products. The net result is an over sampling of some content while the larger database of unseen, yet related content remains under-utilized. Monetizing Your Content Investment Both retail and media sites alike invest significant sums capturing, managing, and promoting their respective content inventory. Statistically, however, most users will only see a very limited percentage of content. Site managers have addressed this visibility challenge by relying on human editorial ranking often in conjunction with costly enterprise content management and search tools. These tools are both expensive and not capable of responding to behavioral changes in real time. The net effect of this is sub-optimal page performance and under-performing click-through rates. Real-Time Relevancy As your content inventory changes, so should the content associations. With Aggregate Knowledge’s Discovery for Media™ and Discovery for Retail™, your content is instantly optimized to changes in user demand. Changes in ad campaigns, price promotions or inventory volume can have important impacts on user behavior. Your site should be able to not only capture that behavioral pattern, but also deliver the content that most resonates with your customer’s interest and intent.

Search and Content Discovery Services for Your Website Collarity quickly and easily integrates with your website to provide automated search and content suggestions, based on the natural communities-of-interest of your audience.

Searchles is a highly scaleable "social search" platform that showcases expertise, enables collaboration with peers and instantly captures it in searchable knowledge indexes. The platform is a hybrid, combining aspects of "social bookmarking" and "social networking" technology with analytical "social search" capability. But what's in it for you??? YOU decide who influences your discovery efforts, when and how through networks of trust you create - no other bookmarking or social search site lets you do that! Network search allows you to discover content with personalized filtering features that include tags, keywords or a combination of both, as well as the ability to apply these same filters to search all postings, groups, friends, or friends' friends based on your own criteria. By analyzing the associations and patterns between trusted people, sources, tags and content, Searchles is able to deliver more precise, relevant results while suggesting content and people related to your interests. The proprietary technology behind Searchles is an evolution of the search engine Dumbfind, developed by veteran search technologist and Searchles' founder and CTO Chris Seline. Both brands are wholly-owned by Searchles, Inc., a privately-held company based in Washington, D.C. backed by angel investors.

Search Source is Rock Coast Media's search marketing blog. The Rock Coast Media staff will give their opinion on various topics that directly and indirectly affect the search marketing community.

Acteurs de la recherche sociale.

Article de Chris Sherman : rappel historique et enjeux de la recherche sociale.

Steve Mansfield operates his own Internet search engine from a place he calls a secret hideout - a small office surrounded by low-rent apartments on the outskirts of this college town known for its horse farms.

PreFound - search what people have already found

Social search.