A short while ago, we reported that Monster.com brought semantics to its platform. Now Monster has gone a step further: “Monster.com is getting into the cloud-computing mix with a new ‘semantic search and analytics platform’ service called SeeMore, which it launched on Thursday morning. Merging two hot capabilities —
cloud-based delivery and analytics — makes a lot of sense for Monster, which no doubt supplies many companies with a lot of data in the form of resumes. Giving them a relatively pain-free way to make the most of that information only makes Monster that much more valuable.”

The article continues, “Although it’s a very niche solution, SeeMore addresses a very typical big-data problem: finding the needle in the haystack of unstructured data. Resumes and other job-application materials aren’t easily broken down into information that would fit nicely into a relational database, so searching through them to find relevant information requires lots of man-hours or specialized tools. Something like Hadoop might be overkill, but SeeMore seems to fit the bill. Especially now, with unemployment rates higher than at any time in recent history, employers are seeing lots of applicants for every job they post, on top of the unsolicited resumes they no doubt receive. With so many choices, it’s very likely that the ideal candidate has sent in a resume, but it’s also that much easier to miss that resume.”

It adds, “SeeMore actually takes it a step further by centralizing all of a company’s resumes in the cloud, meaning companies might be able to fill an opening with the ideal candidate, even if that person only applied for a different job and via an entirely different channel. Semantic search is key to the process, because employers can search based on broad skill sets instead of just keywords, and the system applies context to the information included on the resumes in order to pull the right ones.”

Read more here.

Image: Courtesy Monster.com