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of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023] Brief Description of Dataset file - Interest_Dataset.csv:Attribute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.

请于使用本数据集时引用以下论文：N. Thakur, K. Khanna, S. Cui, N. Azizi, 和 Z. Liu, “自COVID-19疫情爆发以来，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 - 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：代表周值。周数从第0周至第132周，每周为连续的7天，第0周特指从2020年3月11日至2020年3月14日，该周与WHO宣布COVID-19为大流行的起始时间相对应。属性名称：Platform 属性描述：代表平台值。每个平台都是知名的在线学习平台。属性名称：Geo 属性描述：代表条目所属国家的ISO Alpha-2缩写形式的国值。数据集中的所有国家均为经合组织（OECD）成员国，且所有OECD成员国均在数据中有所体现。属性名称：Interest 属性描述：此分数范围为0至100，代表Google Trends为给定平台、周和国家的组合提供的相对兴趣分数。分数为100表示在整个132周的时间跨度内，对于给定国家和平台而言，这是最高的兴趣水平。数据集文件简要描述 - TopPerformerQueries.csv：属性名称：Week 属性描述：代表周值。周数从第0周至第132周，每周为连续的7天，第0周特指从2020年3月11日至2020年3月14日，该周与WHO宣布COVID-19为大流行的起始时间相对应。属性名称：Platform 属性描述：代表平台值。每个平台都是知名的在线学习平台。属性名称：Geo 属性描述：代表条目所属国家的ISO Alpha-2缩写形式的国值。数据集中的所有国家均为经合组织（OECD）成员国，且所有OECD成员国均在数据中有所体现。属性名称：Related_Query 属性描述：每个查询是在给定平台、给定国家和给定周的Google Trends平台上流行的或新兴的查询。属性名称：Type 属性描述：代表给定的相关查询是上升型还是顶级查询。顶级查询是最受欢迎的查询，而上升查询是在给定周内兴趣有大幅上升的查询。属性名称：Related_Query_Interest_Score 属性描述：此分数代表Google Trends平台对该查询的相对兴趣分数。此分数仅适用于顶级查询，不适用于上升查询。分数为100对应于给定平台和国家在该周内的最高兴趣查询。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加的百分比，因此分数为200意味着上升查询与上一周相比翻了一番。此分数仅适用于上升查询，不适用于顶级查询。