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Job Clouds

Job Clouds. Presented by: Laura Bright and Brian Lewis May 1st, 2006 Semantic Web / INF 385T. Presentation Overview. Introduction to Topic Project Goals Technologies Used Usage Scenario Job Clouds Demo Limitations Future Development Conclusions Discussion.

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Job Clouds

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  1. Job Clouds Presented by: Laura Bright and Brian Lewis May 1st, 2006 Semantic Web / INF 385T

  2. Presentation Overview • Introduction to Topic • Project Goals • Technologies Used • Usage Scenario • Job Clouds Demo • Limitations • Future Development • Conclusions • Discussion

  3. Introduction to Topic • Job search portal with a visual component • A way to search for job listings and see a visualization of popular search terms over time within the site community via a tag cloud • Main Benefits • Shows search terms in the tag cloud as they have appeared over time within the community • Suggests other search terms that might be relevant to a search you are performing

  4. Project Goals • To develop an online application that: • Provides a community based job search portal for current job seekers • Has relevant and timely job listings per keyword and location specifications • Provides a weighted list of searched terms based on what the users (the community) have inquired about • Has a tag cloud that creates a visualization of searched terms weighted and styled according to frequency of use and timeframe

  5. Technologies Used

  6. Tag Cloud Specifications • Weighting terms according to: • Popularity • Freshness • Keyword terms are clickable

  7. Job Clouds Demo

  8. Limitations • Poor Data Quality • Web Services not Mature Enough • Listerizer (Low quality) • Zoom Clouds (Low flexibility) • Limited Search Fidelity

  9. Future Development • Reveal relationships in tag visualization • Create more search parameters • Salary • Company Name • Company Size • Rank search terms according to how well they match given keywords

  10. Conclusions • Web services must be highly customized in order to provide specific value • Mash-ups are still programming intensive and therefore have high entry costs • Job clouds service should provide more data entry points to facilitate more robust search capabilities • Possibly deploy service for iSchool grad students on UT ASIST website

  11. Discussion Questions or Comments? Thank you for your time!

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