infinite-dataset-hub/GlobalSearchEnginesFeatures

--- license: mit tags: - infinite-dataset-hub - synthetic --- # GlobalSearchEnginesFeatures tags: feature extraction, regression, sentiment analysis _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'GlobalSearchEnginesFeatures' dataset compiles various attributes and user feedback metrics from multiple leading search engines worldwide. The dataset is designed for machine learning applications in feature extraction and sentiment analysis, focusing on aspects that influence search engine performance and user satisfaction. **CSV Content Preview:** ``` index,SearchEngine,UserInterface,MobileFriendly,SEOfriendly,AlgorithmTransparency,UserSatisfaction,EngagementScore,RelevanceRating,FeedbackSentiment 1,"Google","High","Yes","High","Medium","Very High","A","4.5","Positive" 2,"Bing","Medium","Yes","Medium","Low","High","B","4.0","Neutral" 3,"Yahoo","Low","No","Low","High","Medium","C","3.5","Negative" 4,"DuckDuckGo","Medium","Yes","High","High","High","A","4.8","Very Positive" 5,"Baidu","High","Yes","Medium","Medium","Medium","A","4.2","Positive" ``` The dataset features a comprehensive list of popular search engines along with qualitative and quantitative data. The `Labels` column (named `UserSatisfaction`, `EngagementScore`, and `FeedbackSentiment`) provides categorical data representing the overall user satisfaction and sentiment analysis from user feedback, while the `AlgorithmTransparency` offers insight into how transparent the search engine is about its ranking algorithms. This information can be utilized in regression analysis to predict trends in user satisfaction or in developing more user-centric search engines. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'list of search engines ': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=list+of+search+engines+&dataset=GlobalSearchEnginesFeatures&tags=feature+extraction,+regression,+sentiment+analysis - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub--- 许可证：MIT 标签： - 无限数据集中心（Infinite Dataset Hub） - 合成数据集（synthetic） --- # 全局搜索引擎特征数据集（GlobalSearchEnginesFeatures） 标签：特征提取（feature extraction）、回归（regression）、情感分析（sentiment analysis） _注：本数据集由人工智能生成，内容可能存在不准确或虚假信息_ **数据集描述：** 「全局搜索引擎特征数据集（GlobalSearchEnginesFeatures）」收录了全球多家主流搜索引擎的各类属性与用户反馈指标。本数据集面向特征提取、回归、情感分析领域的机器学习应用，聚焦影响搜索引擎性能与用户满意度的相关维度。 **CSV内容预览：** 索引,搜索引擎（SearchEngine）,用户界面（UserInterface）,移动端适配性（MobileFriendly）,搜索引擎优化友好性（SEOfriendly）,算法透明度（AlgorithmTransparency）,用户满意度（UserSatisfaction）,参与度评分（EngagementScore）,相关性评分（RelevanceRating）,反馈情感倾向（FeedbackSentiment） 1,"谷歌（Google）","高（High）","是（Yes）","高（High）","中等（Medium）","极高（Very High）","A","4.5","积极（Positive）" 2,"必应（Bing）","中等（Medium）","是（Yes）","中等（Medium）","低（Low）","高（High）","B","4.0","中性（Neutral）" 3,"雅虎（Yahoo）","低（Low）","否（No）","低（Low）","高（High）","中等（Medium）","C","3.5","消极（Negative）" 4,"DuckDuckGo","中等（Medium）","是（Yes）","高（High）","高（High）","高（High）","A","4.8","极积极（Very Positive）" 5,"百度（Baidu）","高（High）","是（Yes）","中等（Medium）","中等（Medium）","中等（Medium）","A","4.2","积极（Positive）" 本数据集涵盖了多款热门搜索引擎的完整列表，同时包含定性与定量两类数据。其中`标签列`（字段名为`UserSatisfaction`、`EngagementScore`与`FeedbackSentiment`）提供了基于用户反馈的分类数据，用于表征整体用户满意度与情感分析结果；而`AlgorithmTransparency`字段则展示了搜索引擎对其排序算法的公开透明程度。此类数据可用于回归分析以预测用户满意度趋势，或用于开发更以用户为中心的搜索引擎。 **数据集来源：** 本数据集通过无限数据集中心（Infinite Dataset Hub）与微软Phi-3-mini-4k-instruct大语言模型（microsoft/Phi-3-mini-4k-instruct），以「搜索引擎列表」为查询生成： - **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=list+of+search+engines+&dataset=GlobalSearchEnginesFeatures&tags=feature+extraction,+regression,+sentiment+analysis - **所用模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub