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Published byHerbert Carpenter Modified over 9 years ago
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Warning: there is an element of self promotion in this presentation, but it is entirely coincidental. In the beginning there was the physical job board In 1994 a student put the job board on the internet - this proved to be very popular and soon it was a business. This business was Monster
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The problem of matching – jobs with CVs and – CVs with Jobs Both Job Descriptions CVs are unstructured data
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Here you are searching for words and phrases in unstructured data Key words have equal weight therefore you get everything which has those words without prioritisation It doesn’t appreciate the difference between IT consultant in 1970 or IT consultant in 2010 Words don’t mean anything – it doesn’t understand the context – A search fro “Ford” will select all CV’s that contain that word You get the a list of jobs or CVs and then you have to read through these to determine their value to you
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Queue innovation – the semantic search engine – Monster is the only job board that has one of these – They are expensive – They need a massive database – You need a team to keep it updated and current It’s artificial intelligence – it reads unstructured data like a human would The cheeseburger analogy
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So equipped with a massive database of every job description, qualification, skill known to man and the relationship between each of these – what can I do with it? I can read through a CV and evaluate the content I can then score the content Explain each evaluation criteria
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20,000 personnel transition out of military service each year in the UK Many find it a challenge to translate the skills and experience obtained in miliary service to civilian life Enter the next innovation – the military skills translator Enter; Service, Rank & Pay Grade Understands the skills & training received & Translates this to Civilian work types Searches jobs boards and lists suitable jobs Produces a CV with your civilian skills so that you can apply for the jobs listed
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Facebook - The simplest way of finding a job on Facebook is asking, ask your friends, family and networks if they know of any available positions. More jobs are found through connections than any other way Facebook marketplace - Have a look through your local marketplace for job listings, you will be able to see a description and also who posted the job Twitter - Many companies have job-related Twitter handles. Following those is a great way to keep tabs on job openings, rather than searching the company's website. The lack of barriers to connect with thought leaders is a key advantage LinkedIn - set up an account and have people endorse you. This is where agencies go hunting Microtargeting – google Adwords pay money and target companies that match the profile you set up. – Bing, Yahoo!, Facebook, and even Twitter. $50 a go. – This is not only suitable for individuals but also organisations like Remploy to direct audiences to their site.
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Labour market information (LMI) is an important career guidance resource, providing context, data and practical information to inform the career decision making process. Types of LMI Occupational information – job descriptions, locations & skill levels – Information about sectors - industry profiles, growth areas – Information about pay and conditions – Trends within the labour market e.g. which sectors are recruiting, what jobs are on the increase
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