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With respect to querying knowledge bases in the HR domain, the commonly investigated approach is to find the best k (with k ≥ 1) matches for a given profile, either a CV or a job offer .
Black Box Optimisation:
A second question concerns the efficient querying of databases of profile instances.
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain?
Fall 2012 CS 3200: Homework 1 Goals:
Saksham Singhal Contact Phone: +1 (412) 636-7043 E-mail:
9 iii iv Contents 4.3 4.4 4.2.1 Querying Data .
Introduction The primary purpose of this project is introduce students to the different technical aspects involved in this course and subsequent projects. By the end of this project, a student would have achieved the following: ● Setup an AWS account and simple EC2 instances ● Learn about the Twitter API, and querying twitter using keywords, language filters and geographical bounding boxes ● Setup a Solr (a fully functionality, text search engine in Java) instance understand basic Solr terminology and concepts ● Index thousands of tweets in multiple languages ● Setup a quick and dirty search website showcasing their collected data and implementing faceted search.. The specific challenges in completing this project are as given below: ● Figure out specific query terms, hashtags, filters etc to use in order to satisfy the data querying requirements. ● Correctly setup the Solr instance to accommodate language and Twitter specific requirements The rest of this document will guide you through the necessary setup, introduce key technical elements and then finally describe the requirements in completing the project. This is an individual project and all deliverables MUST be submitted by 19th September 23:59 EST/EDt 2.