Picture recommending method and system

Abstract

The invention belongs to the technical filed of communication and discloses a picture recommending method and system. The method comprises the steps that user behavior data are acquired and labels and incomplete information corresponding to the user behavior data are obtained; corresponding clustering is performed according to the user behavior data to find user preference data; corresponding collaborative filtering is performed according to the user preference data to find the labels which users like; the users are clustered according to the preference degrees of the users to different labels, the users with same preference degrees are put together, and a recommendation list is formed; a published picture is acquired, and the label of the published picture is extracted; the label of the published picture is matched with the recommendation list; the published picture is recommended to the user in the recommendation list which is successfully matched. According to the picture recommending method and system, in the recommendation process, not only can user reference be well reflected, but also the content of the picture can be taken into consideration; a new picture can be recommended timely; the recommended content is more controllable.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method and system for picture recommendation. Background technique [0002] Social networks have integrated into people's lives. People share and obtain more and more data in social networks, and more and more pictures are generated during communication. How to let people obtain high-quality pictures that they are interested in as quickly as possible requires a picture recommendation system to complete. [0003] At present, there are many picture recommendation systems in the world, but the picture recommendation methods used in all the picture recommendation systems are based on the feature values ​​of pictures or based on user behavior data for corresponding picture recommendation processing. [0004] Among them, the image recommendation method based on the image feature value can only realize the mutual recommendation between images based on the image cont...

AI Technical Summary

Problems solved by technology

[0004] Among them, the image recommendation method based on the image feature value can only realize the mutual recommendation between images based on the image content, but cannot reflect the user's preference; the image recommendation method based on user behavior data can recommend according to the user's preference, but ignores the The content of the picture is not sensitive enough to the recommendation of new pictures

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