Hi, Peter, Really great job!
I am interested to know how you implemented "4. Sort by 'Miles'". For example, if starting from a zip code, how to match items within 20 miles? -- Chris Lu ------------------------- Instant Full-Text Search On Any Database/Application site: http://www.dbsight.net demo: http://search.dbsight.com On 10/27/06, Peter Keegan <[EMAIL PROTECTED]> wrote:
I am pleased to announce the launch of Monster's new job search Beta web site, powered by Lucene, at: http://jobsearch.beta.monster.com (notice the Lucene logo at the bottom of the page!). The jobs index is implemented with Java Lucene 2.0 on 64-bit Windows (AMD and Intel processors) Here are some of the new features: 1. 'Improve your search by'... The job search results page allows you to browse and 'drill down' through the results by job category, status, type and salary. The number of matching jobs in each facet is displayed. There will likely be many more facets to browse by in the future. This feature is currently implemented with a custom HitCollector and the DocSet class from Solr. 2. 'More like this' Find more jobs like the one you see by clicking on the 'MORE LIKE THIS' link, which is visible when you hover the mouse over the job title. This feature is implemented with Lucene's term vectors and the 'MoreLikeThis' contribution class. If you are in 'detailed view', the term vectors from the job description are used. In 'brief' view, the job title's term vectors are used. 3. 'Related Titles' When you do a 'keywords' search, click on a 'related titles' link to filter you search by similar job titles. This feature is implemented via a separate Lucene.Net index. 4. Sort by 'Miles' Find jobs close to you via zip code/radius search. In the search results page, click on the 'Miles' column to sort the results by distance from your zip code/radius. This custom sorting feature is implemented via Lucene's 'SortComparatorSource' interface. 5. Search by date, salary, distance. Find jobs posted in the last day (or 2,3, etc) or by salary range or distance. Numeric range search is one of Lucene's weak points (performance-wise) so we have implemented this with a custom HitCollector and an extension to the Lucene index files that stores the numeric field values for all documents. It is important to point out that this has all been implemented with the stock Lucene 2.0 library. No code changes were made to the Lucene core. If you have any feedback regarding the UI, please use the link on the web page ("send us your feedback"). You can hit me with any other questions/comments. Peter
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