Information Retrieval and Natural Language Engineering for - - PowerPoint PPT Presentation

information retrieval and natural language engineering
SMART_READER_LITE
LIVE PREVIEW

Information Retrieval and Natural Language Engineering for - - PowerPoint PPT Presentation

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,


slide-1
SLIDE 1

Information Retrieval and Natural Language Engineering for Intelligent Online Recruiting Servicing

by Jenya Kovalchuk

slide-2
SLIDE 2

Agenda

  • Online recruiting servicing
  • Company’s profile
  • Problem domain
  • Business processes
  • Data collection, processing, storage, and representation
  • Problems to solve
  • Discussion
slide-3
SLIDE 3

Background

  • CV writing, Career management, Job search engines...
  • Job Boards: jobs.ac.uk, Monster, CareerBuilder...
  • JobServe, ltd. : http://www.jobserve.com/
slide-4
SLIDE 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.
slide-5
SLIDE 5

Scope

Job searching and matching technologies

slide-6
SLIDE 6

Business Process

slide-7
SLIDE 7

Candidates

  • Active
  • Dormant
  • Visitors

Relevant data:

  • Profiles
  • CVs
  • Applications
  • Skills
  • Searches
  • Job Views
slide-8
SLIDE 8

Services Facilitating Applications

Advertisers:

  • Search Results
  • CV Sale
  • CV Alerts

– Instant – Daily

  • Featured Jobs

Candidates:

  • Search Results
  • Basket
  • Job Alerts

– Instant – Daily

  • Pushing Jobs
slide-9
SLIDE 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
slide-10
SLIDE 10

CV Processing

  • Original CV
  • Extracted Xml
  • HTML Version of extracted data
slide-11
SLIDE 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.

slide-12
SLIDE 12

Project

Career Path prediction and recommendation system

slide-13
SLIDE 13

Mini-Projects

  • CV processing
  • Term search frequency analysis
  • Matching and ranking algorithms
  • Jobs’ cluster analysis
  • Candidates’ cluster analysis
  • Web-log analysis
  • Application predictor
slide-14
SLIDE 14

Discussion

Thank you for your attention! Q & A