I’m referring to user-defined semantic search, where you tell a search engine exactly what you want with your query, and the search engine doesn’t try to “understand” your search terms or “figure out” what you mean through taxonomies, RDFa, keyword to concept mapping, graph patterns, entity extraction, fuzzy logic, etc.
I recently had a recruiter ask me if there were any way to be able to search LinkedIn for people who have worked at a specific company in the past, but who are NOT currently working for that company.
I can see why some Sourcers and Recruiters would want to specifically target people who are not currently at a company, but have worked there in the past. I’ve done a bit of digging on this, and I have yet to find a way to reliably targeting past experience while ensuring that you only get results of people who are not currently working at the target company. When searching within your network on LinkedIn, as you may know, the only controllable option you have is to be able to search for people who are currently at target companies. If you leave the “current companies only” option unchecked, you will get results with a mix of people who are currently employed at your target company as well as those who are no longer working there. Also – when searching inside your own network – you are limited to results of people to whom you are connected up to the 3rd degree.
Going beyond your own LinkedIn network, you can try using Google and other Internet search engines and employ the site: command to search into LinkedIn – but we have to be aware that this is not a method that affords you precise control over current or past experience. However, I’m going to give Google, Exalead, and AltaVista a thorough LinkedIn Boolean workout. Continue reading →