International Business Machines Corporation

Xiang Yu Song

Yu Gu

Xiao Ming Ma

Chao Yuan Huang

Ning Wang

You Miao Zhang

Ruo Meng Hao

Embodiments of the present disclosure relate to attribute-based selectable item recommendation. A computer-implemented method is disclosed. A computer generates respective attribute profiles of selectable items based on one or more attribute elements included in the selectable items. The profiles include at least one attribute elements respectively correspond to the selectable items. The computer generates an attribute requirement description of an item requesting agent based on a historical search dataset of the item requesting agent. The attribute requirement description includes at least part of the one or more attribute elements. The computer determines recommended selectable items included in the selectable items for the item requesting agent based on the attribute profiles of the selectable items and the attribute requirement description of the item requesting agent. The attribute profiles of the recommended selectable items are suitable with the attribute requirement description based on the one or more attribute elements.

Item recommendation based on computed similarity between automatically generated item and request profiles

Embodiments of the present disclosure allow user experience of photographing to be improved. In operation, it is determined whether a picture composition of a first object and a second object needs to be adjusted based on a predefined composition rule. If the picture composition needs to be adjusted, an adjusting pattern is determined based on the predefined composition rule. Then, the adjusting pattern is provided to a user to indicate the user to adjust the picture composition based on thereon.

Picture composition adjustment

Growing community of inventors

Shanghai, China

Xiang Yu Song