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refactor
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liuchengxu committed Nov 1, 2016
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Shenzhen University Undergraduate Thesis

论文主要关于推荐系统,重点研究在利用隐式反馈的推荐算法上如何融合内容信息, 算法模型为 `Bayesian Personalized Ranking + Content`,可以[点击这里](https://liuchengxu.github.io/szuthesis/xlc/main.pdf)查看论文.
论文主要关于推荐系统,重点研究在利用隐式反馈的推荐算法上如何融合内容信息, 算法模型为 `Bayesian Personalized Ranking + Content`,可以[点击这里](https://liuchengxu.github.io/szuthesis/pdf/thesis.pdf)查看论文.

论文使用 LaTeX 撰写,对于 LaTeX 初学者,如果想用它撰写论文应当有一定借鉴意义,[xlc](https://github.com/liuchengxu/szuthesis/tree/gh-pages/xlc) 目录即为整个 LaTeX 工程, 源文件中我给出了诸多注解。
论文使用 LaTeX 撰写,对于 LaTeX 初学者撰写论文应当有一定借鉴意义.

- [src/thesis](https://github.com/liuchengxu/szuthesis/tree/gh-pages/src/thesis) 为论文的 LaTeX 工程目录, 源文件中我给出了诸多注解。

- [src/dissertation_defence](https://github.com/liuchengxu/szuthesis/gh-pages/src/dissertation_defence) 为 答辩时使用的 slide.

在学习 LaTeX 的过程中,也积累了一些经验,新手或值得一看:

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187 changes: 0 additions & 187 deletions xlc/presentation/FromWordEmbeddingToItemRecommendation.tex

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