Mining knowledge from clicks: MSR-Bing image retrieval challenge

Abstract

This paper introduces the MSR-Bing grand challenge on image retrieval. The challenge is based on a dataset generated from click logs of a real image search engine. The challenge is to mine semantic knowledge from the dataset and predict the relevance score of any image-query pair. A brief introduction to the dataset, the challenge task, and the evaluation method will be presented. And then the methods proposed by the challenge participants are introduced, followed by evaluation results and some discussions about the goal and future of the challenge.