Semantic Search Product Wins Award

HR Executive magazine editors recognized SeeMore as one fo the top products of 2012. SeeMore is the first cloud-based semantic search and analytics recruiting platform, used by the online job matching site, Monster.

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Semantic Search for Employers

Monster – the famous job recruiting website – has added new features designed specifically for small to medium-sized employers. This advanced search technology called, SeeMore, allows employers to manage resumes with more efficiency and ultimately hire talent sooner.

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Semantic Search Increases Findability

EasyAsk and DollarDays International approached the new school year with a semantic approach. DollarDays have doubled their number of products and increased traffic and memberships to their website. How did they do it? They attribute much of it to the strong and comprehensive semantic search feature found on their website.

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The Government’s Role in the Web

Web content management may very well be in the hands of the government. That may concern you, but the new digital government strategy laid out by the Obama administration reads, “New expectations require the federal government to be ready to deliver and receive digital information and services anytime, anywhere and on any device.”

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Webinar Addresses Google Products

A webinar is scheduled to provide an update on Google’s products and services, including what is on the horizon. This webinar is scheduled for September 26, 2012 and is being offered by National Federation for Advanced Information Services (NFAIS).

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Semantic Search Featured as Trendsetter

Another article from KM World where they are identifying trendsetting products brought this news to our attention. The article, “Trend-Setting Products of 2012: Mindbreeze: Mindbreeze InSite” talks about the challenges of traditional search and how one product is offering a solution.

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Retailer Harnesses Semantic Search

As odd as it sounds, Walmart has rolled out a new search engine based on semantic search technology. This unlikely pair is working to help users find items on the Walmart website. The results are based on their interests and likely intent.

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