Supervised learning methods for diversification of image search results

2020-01-01
© Springer Nature Switzerland AG 2020.We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains up to 11.4%.
Citation Formats
B. Goynuk and İ. S. Altıngövde, “Supervised learning methods for diversification of image search results,” 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56712.