首页|Findings on Computational Intelligence Discussed by Investigators at Sun Yat-sen University (Knowledge-aware Intent-guided Contrastive Learning for Next-basket Recommendation)
Findings on Computational Intelligence Discussed by Investigators at Sun Yat-sen University (Knowledge-aware Intent-guided Contrastive Learning for Next-basket Recommendation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g out of Guangzhou, People’s Republic of China, by NewsRx editors,research stat ed, “Next-Basket Recommendation (NBR) aims to predict a series of items in the n ext basketbased on users’ current basket sequence. However, the existing works merely consider the explicit auxiliarysignals, and intent may contribute to the refinement of basket representations but bring some uncertainbias.To deal with the problems mentioned above, this paper proposes a knowledge-aware intent-guid edcontrastive learning method called KICL for NBR.”
GuangzhouPeople’s Republic of ChinaA siaComputational IntelligenceMachine LearningSun Yat-sen University
NETL
NSTL
