A study of the number of Wordle users and experience predictions

Zhirui Min
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引用次数: 1

Abstract

: Wordle, a popular word guessing game offered daily by The New York Times, has been widely loved and shared due to its straightforward rules and strong fun. This paper uses the ARIMA time series prediction model to predict future user number and then defines the word attribute by combining the word frequency and letter frequency through entropy weight method. To predict the percentage of tries in the future, we fit the percentage of tries with the word attribute from January 7, 2022 to December 31, 2022.This paper forecasts the number of Wordle users on March 1, 2023 and came up with a prediction of 16,458 users. Predicting the word “EERIE” on March 1, 2023 through fitting function and the corresponding percentage of tries is (0,13,35,33,14,2). This paper is instructive for setting the direction of future updates for Wordle as well as giving a forecast method for the future development of Wordle.
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对world用户数量和体验预测的研究
字体《世界》是《纽约时报》每日推出的热门猜字游戏,因其规则简单、趣味性强而广受喜爱和分享。本文采用ARIMA时间序列预测模型预测未来用户数量,然后通过熵权法结合词频和字母频率定义词属性。为了预测未来的尝试百分比,我们将尝试百分比与2022年1月7日至2022年12月31日的单词属性拟合。本文预测2023年3月1日世界用户数量,预测为16458人。通过拟合函数预测2023年3月1日的单词“EERIE”,对应的尝试次数百分比为(0,13,35,33,14,2)。本文对设定world未来的更新方向具有指导意义,同时也为world未来的发展提供了一种预测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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