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paper 5: KDD2021-Sliding Spectrum Decomposition for Diversified Recommendation
在一个大规模的推荐系统中,我们可以从三个角度来理解多样化的推荐结果: diversity, quality, fairness quality: 供应与用户兴趣匹配 diversity: 发现/扩展用户兴趣 fairness: 对长尾和小众items公平 对于quality, 可以来自用户历史兴趣, 也可以是用户兴趣的发现和拓展. 我们Jansen 2020 Machine Learning for Al Chapter 9代码复现(三)
八、模型定阶 图解法识别 绘制差分后序列的自相关和偏自相关图,通过观察自相关和偏自相关图找出模型的最优参数 fig = plt.figure(figsize=(12,8)) ax1 = fig.add_subplot(211) fig = sm.graphics.tsa.plot_acf(data_seasonal_first_difference.iloc[13:], lags=40, ax=ax1) ax22-构建模型
library(readxl) library(TSA) library(fUnitRoots) library(fBasics) library(tseries) library(forecast) library(urca) # 导入数据 xlsx_1<-read_excel("~/Desktop/graduation design/WIND/export for USA.xlsx", sheet = "Sheet2&quoUVA352 LA5642 The Seasonal War【DFS】
The inhabitants of Tigerville and Elephantville are engaged in a seasonal war. Last month, Elephantville successfully launched and orbited a spy telescope called the Bumble Scope. The purpose of the Bumble Scope was to count the number of War Eagles in时间序列的三种模式:trend、seasonal、cyclic
整理自Forecast:Principle and Practice,chapter 2.3:Time series patterns 1.Trend 数据中有长期的增长或者减少的时候,称这个数据有trend。它不一定是线性的。 2.Seasonal 当时间序列受一年中的某个时间的影响或者一周中的某天的影响时,称这个时间序列有seasonal模式。seasona