ENHANCING PRODUCT IMAGES FOR CLICK-THROUGH RATE IMPROVEMENT

被引：0

作者：

Chae, Yeongnam ^{[1
]}

Nakazawa, Mitsuru ^{[1
]}

Stenger, Bjorn ^{[1
]}

机构：

[1] Rakuten Inc, Rakuten Inst Technol, Tokyo, Japan

来源：

2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年

关键词：

image enhancement; click-through rate; advertisement; e-commerce; IMPACT; DESIGN;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper proposes a statistical method to enhance image quality in order to increase the click-through rate (CTR) of product images. We build a joint probability model of global image features for photos of different product categories. The images are modified in terms of brightness, contrast, and sharpness in order to increase the expected CTR. The effectiveness of the method is evaluated using a perceptual user study, comparing it to histogram equalization methods, and by conducting an A/B test over a one-week period on the e-ommerce site Rakuten Ichiba.

引用

页码：1428 / 1432

页数：5

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