iHR: an online recruiting system for Xiamen Talent Service Center

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining Pub Date : 2013-08-11 DOI:10.1145/2487575.2488199

Wenxing Hong, Lei Li, Tao Li, Wenfu Pan

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引用次数: 21

Abstract

Online recruiting systems have gained immense attention in the wake of more and more job seekers searching jobs and enterprises finding candidates on the Internet. A critical problem in a recruiting system is how to maximally satisfy the desires of both job seekers and enterprises with reasonable recommendations or search results. In this paper, we investigate and compare various online recruiting systems from a product perspective. We then point out several key functions that help achieve a win-win situation between job seekers and enterprises for a successful recruiting system. Based on the observations and key functions, we design, implement and deploy a web-based application of recruiting system, named iHR, for Xiamen Talent Service Center. The system utilizes the latest advances in data mining and recommendation technologies to create a user-oriented service for a myriad of audience in job marketing community. Empirical evaluation and online user studies demonstrate the efficacy and effectiveness of our proposed system. Currently, iHR has been deployed at http://i.xmrc.com.cn/XMRCIntel.

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iHR:厦门市人才服务中心网上招聘系统

随着越来越多的求职者在网上找工作，越来越多的企业在网上找候选人，网上招聘系统得到了极大的关注。招聘系统中的一个关键问题是如何通过合理的推荐或搜索结果最大限度地满足求职者和企业的愿望。在本文中，我们从产品的角度对各种在线招聘系统进行了调查和比较。然后，我们指出了几个关键的功能，有助于实现求职者和企业之间的双赢局面，为一个成功的招聘系统。基于观察结果和关键功能，我们为厦门市人才服务中心设计、实现并部署了基于web的招聘应用系统iHR。该系统利用最新的数据挖掘和推荐技术，为就业营销社区的无数受众创造了以用户为导向的服务。实证评估和在线用户研究证明了我们提出的系统的有效性和有效性。目前，已在http://i.xmrc.com.cn/XMRCIntel上部署了《国际卫生条例》。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

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