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Information Retrieval and Natural Language Engineering for Intelligent Online Recruiting Servicing by Jenya Kovalchuk Agenda Online recruiting servicing Companys profile Problem domain Business processes Data collection,

  1. Information Retrieval and Natural Language Engineering for Intelligent Online Recruiting Servicing by Jenya Kovalchuk

  2. Agenda • Online recruiting servicing • Company’s profile • Problem domain • Business processes • Data collection, processing, storage, and representation • Problems to solve • Discussion

  3. Background • CV writing, Career management, Job search engines... • Job Boards: jobs.ac.uk, Monster, CareerBuilder... • JobServe, ltd. : http://www.jobserve.com/

  4. Company’s Profile • JobServe, ltd. - the world’s first Online Recruitment Service, established in 1993 as a UK IT specific service. • Provide job seekers the ability to search and apply for advertised roles. • Revenue comes from online job advertising and other associated recruitment products such as CV search. • Major customers are the global Recruitment Agencies. • Now also Finance, Sales, Healthcare, HR, Public sector, and some other industries. • Territories: UK, USA, Canada, Australia, Thailand.

  5. Scope Job searching and matching technologies

  6. Business Process

  7. Candidates • Active • Dormant • Visitors Relevant data: • Profiles • CVs • Applications • Skills • Searches • Job Views

  8. Services Facilitating Applications Candidates: Advertisers: • Search Results • Search Results • Basket • CV Sale • Job Alerts • CV Alerts – Instant – Instant – Daily – Daily • Pushing Jobs • Featured Jobs

  9. Data Collection • Job adverts via the web portal • Job adverts via the web service • Candidates’ profiles and CVs via the web portal • Candidates’ behaviour tracking on the web portal

  10. CV Processing • Original CV • Extracted Xml • HTML Version of extracted data

  11. Search Process Research areas concerned: • Human-computer interaction: web design, information collection and representation; • Search & recommender mechanisms: Information Retrieval, NLP, Web-log Analysis, Cluster Analysis, Pattern Recognition.

  12. Project Career Path prediction and recommendation system

  13. Mini-Projects • CV processing • Term search frequency analysis • Matching and ranking algorithms • Jobs’ cluster analysis • Candidates’ cluster analysis • Web-log analysis • Application predictor

  14. Discussion Thank you for your attention! Q & A

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