Layout-expectation-based Model for Image Search Re-ranking

Bin Jin, Weiyao Lin, Jianxin Wu, Tianhao Wu, Jun Huang, Chongyang Zhang
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Abstract

In this paper, a new algorithm is proposed for image re-ranking in Web search applications. The proposed algorithm introduces a new layout expectation model for improving the image search results. The motivation for using the expectation model is that users may often have potential expectations about the desired image during the search process. By including the layout expectation model to describe users' expectation on image layouts, the re-ranked search results can become more satisfactory to users. Experimental results demonstrate that our proposed algorithm can significantly improve the re-ranking precision compared with the state-of-the-art algorithms.
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基于布局期望的图像搜索排序模型
本文提出了一种Web搜索应用中图像重新排序的新算法。该算法引入了一种新的布局期望模型,以改善图像搜索结果。使用期望模型的动机是,在搜索过程中,用户可能经常对所需的图像有潜在的期望。通过引入布局期望模型来描述用户对图像布局的期望,使得重新排序后的搜索结果更让用户满意。实验结果表明,与现有算法相比,该算法能显著提高重排序精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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