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On this ERE Blog you'll find entries from Scott Kahle on new trends, new product and insights on the state of the employment market here in Washington, DC. Since these are all my personal opinions, I always welcome comments from my readers and encourage you to challenge anything I post to this Blog.

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Market10 follow this blog post

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Then:

Late in the summer of 2005 I wrote a few blog entries on a new job board called Market 10 (a.k.a. mkt10). At the time I was fairly critical of the site and their strategy to match candidates to jobs without letting employers search resumes or candidates search job postings. Instead, Market10 would match candidates to jobs based on the skills a candidate claimed on their profile and the skills listed on the job posting. When a strong match exists the candidate and employer a notified and given the opportunity to show mutual interest. If both are interested then the share contact information. At the time I complained that it was far too difficult to create a profile or posting and that there were not enough skills available to capture all jobs or candidate strengths.

 
Now:

Market10 just sent out emails asking candidates to update their profiles. When a candidate logs on they are asked to upload a resume and add content to their profile that expands on the skills they have listed. It appears that market 10, or their customers, have determined that skills alone are not enough to match candidates with positions. While the skills matching remains the cornerstone of the site, Market10 is now adding more traditional data collection around the skills. This way, once the site matches a candidate and a job, there will be more candidate information available to the employer.

 
Future:

While the addition of traditional employment history data is to the Market10 model is a step in the right direction, I still feel strongly that the key to success for this site lies in the addition of a parsing engine that would automate the collection of skills of resumes and jobs. If employers and candidates could simply upload jobs and resumes so a parsing engine (with a much larger skills database) could extract all relevant terms, then the user could simply check off the most relevant skills to weight the ones are most important.

 

In short, I think Market10 needs to generate a LOT more data before the model will work. The best way to get that data is to make it less painful to enter it into the system.
 
Thats my two cents, what do you think?
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1 comment

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  • 1 point 3 years ago

    Nimblecat is cuurently doing for employers like GOOGLE what is described here that Market10 was attempting. Rather than using keywords (that do not describe FUNCTION/TITLE/ROLE) they use linguisitic modeling to create the 'DNA' of the resume and spider the client's web site for posted job orders. The client opens an account with Nimblecat and uses their 'engine' via an exclusive email account that gives a 'rating/ranking' of the match and delivers a 'pushed' email to the client with a list of best matches based on what the client is looking for. If the client wants mid-managers that are 60-80's (ranked) instead of 80-100's ( for cost considerations) they can do that as well as get the 'best of the best'.

    Tim Nelson Sr. Account Executive 310-430-0576 timnelsonccps@gmail.com