首页|Investigators at Anhui Normal University Describe Findings in Computational Inte lligence (Enhanced Self-attention Mechanism for Long and Short Term Sequential R ecommendation Models)

Investigators at Anhui Normal University Describe Findings in Computational Inte lligence (Enhanced Self-attention Mechanism for Long and Short Term Sequential R ecommendation Models)

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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 originat ing from Wuhu, People’s Republic of China, by NewsRx correspondents,research st ated, “Compared with traditional recommendation algorithms based on collaborativ efiltering and content, the sequential recommendation can better capture change s in user interests andrecommend items that may be interacted with by the next time according to the user’s historical interactionbehaviors. Generally, there are several traditional methods for sequential recommendation: Markov Chain(MC) and Deep Neutral Network (DNN), both of which ignore the relationship between v arious behaviorsand the dynamic changes of user interest in items over time.”

WuhuPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningAnhui Normal University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.12)