Robotics & Machine Learning Daily News2024,Issue(Dec.3) :34-35.

New Intelligent Systems Research Reported from China University of Petroleum Eas t China (Relieving popularity bias in recommendation via debiasing representatio n enhancement)

中国石油大学最新智能系统研究报告(通过去偏表示增强消除推荐流行偏差)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :34-35.

New Intelligent Systems Research Reported from China University of Petroleum Eas t China (Relieving popularity bias in recommendation via debiasing representatio n enhancement)

中国石油大学最新智能系统研究报告(通过去偏表示增强消除推荐流行偏差)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-智能系统的研究结果在一篇新的报告中讨论。根据记者对华东石油大学新闻报道的研究据说,"用于培训推荐系统的互动数据往往表现出长尾分布"。本研究的资金支持单位包括国家自然科学基金、国家自然科学基金河北省科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on intelligent syste ms are discussed in a new report. Accordingto news originating from China Unive rsity of Petroleum East China by NewsRx correspondents, researchstated, “The in teraction data used for training recommender systems often exhibit a long-tail d istribution.”Financial supporters for this research include National Natural Science Foundati on of China; NaturalScience Foundation of Hebei Province.

Key words

China University of Petroleum East China/Intelligent Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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