人才快篩與課程推薦模組

資策會創新前瞻技術研究計畫

目前人力銀行有提供媒合工具來促進媒合成功率，該媒合計算是比較求職者的專長標籤與工作職缺類別標籤的相似度來進行媒合，然而該媒合系統不準確有下列兩個重要原因： 1. 傳統求職者於線上登錄之個人資訊，為了提高自身獲取工作的機會，會有放大其自身能力技能標籤的趨勢；然而，以企業端而言，在初步篩選階段，企業端往往需要細讀求職者自傳，了解求職者專業資格與經驗的相關敘述來進行以提供較準確的決策資訊。然而，對企業端而言，閱讀大量的求職者自傳相當費時、費力。 2. 對求職者而言，求職平台提供兩種方式尋找職缺。求職者可以根據關鍵字篩選職缺、其次媒合系統可以根據求職者專業技能標籤與工作職缺標籤進行配對。然而，詳細的工作職缺要求都在職缺敘述中，若媒合系統忽略工作職缺敘述，求職者需要在大量相似但要求不同的工作職缺中，透過閱讀工作職缺敘述找到適合應徵的工作。

Currently Human Resource Agency has provided a match-making tool to facilitate success rate of match making. That matching computation is done by comparing specialty tags of job seekers to match the similar tags of job vacancy categories. However, two important root causes of inaccuracy of that match making system are: 1. Personal information being registered by conventional job seeker is intended to be exaggerated about one's own abilities and skills in order to elevate the odds to get the job. However, for enterprise, in the phase of initial screening, autobiography of job seekers must be read in detail to comprehend the related descriptions on specialty qualifications and experiences before more accurate decision-making information can be provided. While for enterprise, it takes a lot of time and efforts to read plenty of job seekers' autobiography 2. For job seekers, employment platform provides two options of job seeking. Job seek may screen job vacancies by key words before match making system can proceed with match making, according to tags of specialties & skills of job seekers. While detailed requirements of job vacancies are described in job vacancies. In case the match making system ignores the descriptions of job vacancies, job seekers need to read the job descriptions to find applicable jobs among plenty of similar job vacancies with variant requirements.