Comments (4)
你好,非常高兴你能开源你的convmf代码,我运行了你的代码,但是并没有得到你给出的log里面的结果,能否指导一下?我的邮箱是[email protected]
lambda那些参数严格按照paper里设置,数据集得用movielens,从这篇paper作者的网站上可以找到,处理成代码要求的格式。
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现在很多人在cnn上加入注意力机制后都能得到不错的室验结果,你那边有考虑在convmf上添加attention机制吗? 段超 华中师范大学 国家数字化学习工程技术研究中心 电 话:17771414406 邮 箱:[email protected] 邮 编:430079 地 址:湖北省武汉市华中师范大学科学会堂509室
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------------------ 原始邮件 ------------------ 发件人: "Lei Li 李磊"<[email protected]>; 发送时间: 2020年6月14日(星期天) 下午2:37 收件人: "lileipisces/ConvMF"<[email protected]>; 抄送: "红楼遗梦"<[email protected]>; "Author"<[email protected]>; 主题: Re: [lileipisces/ConvMF] 没有得到你给出的结果。 (#3) 你好,非常高兴你能开源你的convmf代码,我运行了你的代码,但是并没有得到你给出的log里面的结果,能否指导一下?我的邮箱是[email protected] lambda那些参数严格按照paper里设置,数据集得用movielens,从这篇paper作者的网站上可以找到,处理成代码要求的格式。 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
这是多年前复现的,当时只是作为练习深度学习编程能力。并没有在这上面做扩展的打算,因为觉得意义不大。事实上这类模型的精度也没有提高很多(只是因为它的baseline都很差),耗时又特别长,跟传统的SVD相比没有半点优势。你要找的话,可以找到一大堆相关的paper,attention或者RNN都可以加上去。
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