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Datathon 2016 Marketplace Analytics and were growing Data-driven personalisation at Seek Matching Hello Antony Ugoni Head of Marketplace Analytics - SEEK SEEK identifies the need to become proactive in connecting candidates and


  1. Datathon 2016 Marketplace Analytics

  2. …and we’re growing

  3. Data-driven personalisation at Seek Matching Hello Antony Ugoni Head of Marketplace Analytics - SEEK SEEK identifies the need to become proactive in connecting candidates and hirers.

  4. Candidates to Job Matching – Weekly Roundup The results prove You’ve applied for a job, Here are some market effectiveness and space here’s more like it. insights for you too for ‘matching’. 6x 4x Target group Control group

  5. Datathon The Data Hello Antony Ugoni Head of Marketplace Analytics - SEEK

  6. Visualising the Data Hello Antony Ugoni Head of Marketplace Analytics - SEEK

  7. Conceptual Schema Hello Antony Ugoni Head of Marketplace Analytics - SEEK

  8. Job Searches Column Name Comments If the user is logged in it is the user_id of the user executing the search, else it is the “cookied” user_id user session id . Hello search_id Unique ID representing a single search. raw_location Location text entered into the location field on website When raw location is populated the GeoName ID is looked up against http://www.geonames.org/. location_id This field is only populated if the looked up of the raw_location is found in the Geoname List When raw location is populated the Latitude is looked up against http://www.geonames.org/ Antony Ugoni latitude This field is only populated if the looked up of the raw_location is found in the Geoname List Head of Marketplace Analytics - SEEK When raw location is populated the Longitude is looked up against http://www.geonames.org/ longitude This field is only populated if the looked up of the raw_location is found in the Geoname List query Search term entered in the query field on the website mobile_user True / False value representing whether the search was conducted on a mobile device. created_at UTC Date time the search event record was written to Elastic Search

  9. Job Impressions Column Name Comments job_id The Unique ID of the Job to which the stats pertain. If the user is logged in it is the user_id of the user executing the search, else it is the cookied user Hello user_id session id . session_id Cookied user session id. search_id The search_id from job_search from which this impression was created. Antony Ugoni The ranked position of the Job in the search results page, starting from top to bottom. Numbering Head of Marketplace Analytics - SEEK search_ranking continues across pagination. mobile_user True / False value representing whether the search was conducted on a mobile device. created_at The UTC Date time when the job impression event record was written to Elastic Search

  10. Job Clicks Column Name Comments job_id The unique ID of the Job which the user clicked on to view additional information. Hello If the user is logged in it is the user_id of the user executing the search, else it is the cookied user user_id session id . Antony Ugoni session_id Cookied user session id. Head of Marketplace Analytics - SEEK search_id The search_id from job_search if the job was clicked from a search results page created_at The UTC Date time the click event record was written to Elastic Search

  11. Jobs Data Column Name Comments jobid The unique ID that represents a single job. Title The title of the job. Hello raw_location The text description of the job’s location. When raw location is populated the GeoName ID is looked up against location_id http://www.geonames.org/ subclass The subclass id that the job is identified as belonging to Antony Ugoni salary_type The remuneration level that has been calculated for this job. All salaries have been annualised Head of Marketplace Analytics - SEEK salary_min Minimum value of the Salary Range of the Job salary_max Maximum value of the Salary Range of the Job raw_job_type The job type of the job relating the amount of time the job requires Abstract A short description of the Job The market segment the job falls into. Values are 1 to 4 where 1 is low paid unskilled labour, 4 segment is high paid, high skilled careers.

  12. Job Classification Column Name Comments class_id UniqueID that identifies a class by which a job can be classified. Hello class_description Description of the class by which a job can be classified. Antony Ugoni UniqueID that identifies a sub_class by which a job can be sub classified. A job is classified against sub_class_id only one sub_class. A sub_class is related to only one class Head of Marketplace Analytics - SEEK Sub_class_description Description of the sub_class by which a job can be sub_classified

  13. Datathon 2016 Questions Hello Antony Ugoni Head of Marketplace Analytics - SEEK Contacts aalessi@seek.com.au wharrison@seek.com.au emazloumi@seek.com.au

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