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

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

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

Technologies Used

Tag Cloud Specifications

Weighting terms according to:

Popularity Freshness

Keyword terms are clickable

Job Clouds Demo

Limitations

Poor Data Quality

Web Services not Mature Enough Listerizer (Low quality) Zoom Clouds (Low flexibility)

Limited Search Fidelity

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

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

Discussion

Questions or

Comments?

Thank you for your time!