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Recent approaches to crowdsourcing entity matching (EM) are limited in that they crowdsource only parts of the EM workflow, requiring a developer to execute the remaining parts. Consequently, these approaches do not scale to the growing EM need at enterprises and crowdsourcing startups, and cannot handle scenarios where ordinary users (i.e., the masses) want to leverage crowdsourcing to match entities. In response, we propose the notion of hands-off crowdsourcing (HOC), which crowdsources thedoi:10.1145/2588555.2588576 dblp:conf/sigmod/GokhaleDDNRSZ14 fatcat:2kstdlg4e5a4nk7ctih42ystg4