mr

Please cite the following paper when using this dataset:N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023] Brief Description of Dataset file - Interest_Dataset.csv:Attribute Name: WeekAttribute Description: Represents the week value. The weeks are numbered from Week 0 to Week 132. Each week is a continuous 7 days, with the exception of Week 0 which refers to 03-11-20 to 03-14-20, the start of which corresponds to the declaration of COVID as a pandemic by the WHO.Attribute Name: Platform Attribute Description: Represents the platform value. Each platform is a prominent online learning platform.Attribute Name: Geo Attribute Description: Represents the country value for the given entry in the form of its ISO Alpha-2 abbreviation. All countries in the dataset are OECD countries, and all OECD countries are present in the data.Attribute Name: InterestAttribute Description: This score, which ranges from 0 to 100, represents the relative interest score provided by Google Trends for the given platform, week and country combination. A score of 100 means it’s the highest interest level present over the entire 132 week span for the given country and platform. Brief Description of Dataset file - TopPerformerQueries.csv: Attribute Name: WeekAttribute Description: Represents the week value. The weeks are numbered from Week 0 to Week 132. Each week is a continuous 7 days, with the exception of Week 0 which refers to 03-11-20 to 03-14-20, the start of which corresponds to the declaration of COVID as a pandemic by the WHO. Attribute Name: Platform Attribute Description: Represents the platform value. Each platform is a prominent online learning platform. Attribute Name: Geo Attribute Description: Represents the country value for the given entry in the form of its ISO Alpha-2 abbreviation. All countries in the dataset are OECD countries, and all OECD countries are present in the data. Attribute Name: Related_Query Attribute Description: Each query is a trending or rising query for the given platform in the given country in the given week on the Google Trends platform. Attribute Name: TypeAttribute Description: Represents whether the given related query is of type rising or top. Top queries are the absolute most popular queries, while rising queries are queries that have had large spikes in interest over the given week. Attribute Name: Related_Query_Interest_ScoreAttribute Description: This represents the relative interest score for this query by the Google Trends platform. This score is only present for top queries, not rising queries. A score of 100 corresponds to the highest interest query over the given week for that platform and country. Attribute Name: Trending_Percentage Attribute Description: This score represents by what percentage the query increased in interest over the given week, so a score of 200 would mean a rising query doubled versus the previous week. This score is only present for rising queries, not top queries.

在使用本数据集时，请引用以下论文：N. Thakur, K. Khanna, S. Cui, N. Azizi, 和 Z. Liu, 《自COVID-19爆发以来，不同国家在线学习平台相关搜索兴趣的挖掘与分析》[未发表论文 - 论文已提交至2023年7月23日至28日在丹麦哥本哈根举办的HCI国际会议] 数据集文件简要描述 - Interest_Dataset.csv：属性名称：Week属性描述：表示周值。周数从周0至周132。每个周表示连续的7天，除周0外，其时间范围为2020年3月11日至3月14日，即世界卫生组织宣布COVID-19为大流行的开始。属性名称：Platform属性描述：表示平台值。每个平台均为知名在线学习平台。属性名称：Geo属性描述：表示给定条目的国家值，形式为ISO Alpha-2缩写。数据集中的所有国家均为经合组织国家，且所有经合组织国家均包含在数据中。属性名称：Interest属性描述：该分数范围为0至100，代表Google Trends为给定平台、周和国家组合提供的相对兴趣分数。分数为100表示在整个132周期间，对于给定国家和平台的最高兴趣水平。数据集文件简要描述 - TopPerformerQueries.csv：属性名称：Week属性描述：表示周值。周数从周0至周132。每个周表示连续的7天，除周0外，其时间范围为2020年3月11日至3月14日，即世界卫生组织宣布COVID-19为大流行的开始。属性名称：Platform属性描述：表示平台值。每个平台均为知名在线学习平台。属性名称：Geo属性描述：表示给定条目的国家值，形式为ISO Alpha-2缩写。数据集中的所有国家均为经合组织国家，且所有经合组织国家均包含在数据中。属性名称：Related_Query属性描述：每个查询均为给定平台、给定国家在给定周内的Google Trends平台上的热门或上升查询。属性名称：Type属性描述：表示给定相关查询的类型，是上升型还是顶级。顶级查询是最受欢迎的查询，而上升查询是兴趣在该周内大幅增长的查询。属性名称：Related_Query_Interest_Score属性描述：这代表由Google Trends平台提供的该查询的相对兴趣分数。此分数仅针对顶级查询，不针对上升查询。分数为100表示在给定周内该平台和国家的最高兴趣查询。属性名称：Trending_Percentage属性描述：此分数表示查询在给定周内兴趣增长的比例，因此分数为200表示上升查询相对于上一周翻倍。此分数仅针对上升查询，不针对顶级查询。