As many of you know, I am a passionate Research professional and lead instructor for Lean Human Capital’s Internet/social media sourcing sessions.
Last week I spent several hours reviewing (also did a demo) the new Monster “Power Search” tool and thought I would provide a synopsis of what I learned.
There is a new way to do search. It’s called “semantic search”. The old way most search engines work is by using keywords based on digits in fields and Boolean commands. The results provided back to the user match the keywords you typed in based on what you are looking for.
Semantic uses an approach based on providing answers that ALSO included synonyms or common correlations to the search word or phrase you typed in. (i.e. if you type “lawyer” you will also get “attorney” “barrister” etc). (Important: These correlations are only as good as the developers who make them for each site).
Semantic search uses tools developed by a couple different companies, and universities. It is cutting edge, new technology. With that said, I suspect it is not fully refined or embraced in corporate development… yet.
Monster has taken a bold approach AND a $100 million investment to make their database searchable with the semantic search methodology.
I WOULD recommend Power Search to organizations that:
- Do not have a sourcing team.
- To recruiters that have limited Boolean and or search experience.
It does have a terrific interface and it is easy to use and learn. It provides easy returns.
However, I would probably not recommend it to those organizations that have a sourcing team and/or recruiters skilled in Boolean search techniques based on my ROI/Cost analysis.
I give kudu’s to Monster. They are investing in technology TODAY (and getting a jump on their competition?) that I suspect will eventually (don’t know time frame) become standard (and classic search option will fade away).
Some stat’s that Monster provided me are outlined below.
Shoot me an email if you have any success stories/challenges with this new search tool and/or semantic search technology!!!!
Monster conducted detailed return on investment (ROI) studies with 48 recruiters from 15 large enterprise accounts to measure the value of Power Resume Search. In side by side comparisons with competitive products or standard keyword searching, customers found that Power Resume Search produced the following results:
- 65% average time saved using Power Resume Search compared to keyword-based search engines
- 150% average increase in the number of qualified candidates found
- 90% of recruiters prefer using Power Resume Search over other keyword-based search technology
- 97% of recruiters found qualified candidates faster using Power Resume Search
Research and Sourcing
Lean Human Capital