CrowdRankEval: A Ranking Function Evaluation Framework for Spatial Keyword Queries
Ilkcan Keles, Christian S. Jensen, Simonas Šaltenis · 2016
We demonstrate Crowd Rank Eval, a novel framework for the evaluation of ranking functions for top-k spatial keyword queries. The framework enables researchers to study hypotheses regarding ranking functions. Crowd Rank Eval uses crowd sourcing for synthesizing results to top-k queries and is able to visualize the results and to compare them to the results obtained from ranking functions, thus offering insight into the ranking functions.