浅析智能化服装搭配推荐系统研究与进展

Analysis of research progress of intelligent clothing collocation

在现阶段,智能技术的发展速度持续加快,针对用户实际需求展开的研究也在深入开展,从服装行业的现状来看,如何将人工智能技术与服装时尚予以结合成为关注的重点。智能化服装搭配推荐系统的应用可以使用户在穿衣搭配方面的需求得到切实满足,这样就可节约大量的时间、精力。随着人工智能、机器学习等技术的成熟,为智能化服装搭配系统奠定了坚实的基础。本文针对当下已经得到应用的智能化服装搭配推荐系统展开深入探析,对基础算法、关键技术等予以详细阐述,进而寻找到未来的研究方向,使服装搭配推荐系统能够更具个性化,综合功能大幅提高,并带来更为理想的效益。

At the present stage,the development speed of intelligent technology continues to accelerate,and the research on the actual needs of users is being deeply launched.From the current situation of the fashion industry,how to combine artificial intelligence technology and clothing fashion has become the focus of attention.The application of intelligent clothing collocation recommendation system can make users‘needs in dressing collocation be effectively met,so that it can save a lot of time and energy.With the artificial intelligence and machine learning technologies more mature,it has laid a solid foundation for the intelligent clothing collocation system.This paper analyzes the applied intelligent clothing collocation recommendation system,expounds the basic algorithms and key technologies,and then finds the future research direction,in order to make the clothing collocation recommendation system more personalized,greatly improve the comprehensive function,and bring more ideal benefits.