This paper provides an overview of the Retrieving Diverse Social Images task that is organized as part of the MediaEval 2016 Benchmarking Initiative for Multimedia Evaluation. The task addresses the problem of result diversification in the context of social photo retrieval where images, metadata, text information, user tagging profiles and content and text models are available for processing. We present the task challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.
B. Ionescu, A. Gînscǎ, M. Zaharieva, B. Boteanu, M. Lupu, H. Müller: "Retrieving Diverse Social Images at MediaEval 2016: Challenge, Dataset and Evaluation"; Talk: MediaEval 2016, Hilversum, The Netherlands; 10-20-2016 - 10-21-2016; in: "CEUR Workshop Proceedings of the MediaEval 2016 Multimedia Benchmark Workshop", ceur-ws.org, Vol-1739 (2016), ISSN: 1613-0073; 3 pages.
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