A Framework for Adaptive Crowd Query Processing

2013-11-10

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1

Volume

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing

Works in Progress

Search engines can yield poor results for information retrieval tasks when they cannot interpret query predicates. Such predicates are better left for humans to evaluate. We propose an adaptive processing framework for deciding (a) which parts of a query should be processed by machines and (b) the order the crowd should process the remaining parts, optimizing for result quality and processing cost. We describe an algorithm and experimental results for the first framework component.

10.1609/hcomp.v1i1.13131