The Workshop on Data-Driven Talent Acquisition (DDTA'16) will be co-located with CIKM 2016, held in Indianapolis, USA, on October 28, 2016.

Expertise search is a well-established field in information retrieval. In recent years, the increasing availability of data enables accumulation of evidence of talent and expertise from a wide range of domains. The availability of big data significantly benefits employers and recruiters. By analyzing the massive amounts of structured and unstructured data, organizations may be able to find the exact skillsets and talent they need to grow their business. The aim of this workshop is to provide a forum for industry and academia to discuss the recent progress in talent search and management, and how the use of big data and data-driven decision making can advance talent acquisition and human resource management.

Important Dates

  • Submission deadline: September 1, 2016
  • Acceptance notification: September 22, 2016
  • Workshop date: October 28, 2016


The workshop seeks to uncover the next research frontiers in talent acquisition and management by exploiting the abundance of data. Examples of topic of interest include (but are not limited to):
  • Talent and expertise related data in heterogeneous media: enterprise, Web, user generated content (social media sites, weblogs, microblogs, wikis), Linked Open Data, etc. 
  • Integration of expertise data from multiple sources
  • Expertise retrieval
  • Expert profiling
  • Data analytics for human resource management
  • Prediction of hiring needs and optimization of hiring performance
  • Personalized job search
  • Recommender systems for talent acquisition (e.g., job recommendation)
  • Behavior modelling of job seekers
  • Data-driven marketing for talent acquisition
  • Test collections and evaluation methodology
  • Interfaces, case studies, and applications