In March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.

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Определение: Общий трафик на 15 сайтов с искусственным интеллектом со стационарных и мобильных компьютеров в каждой стране. [Переведено с en: английского языка] Тематическая область: Информационно-коммуникационные технологии [Переведено с en: английского языка] Область применения: Искусственный интеллект [Переведено с en: английского языка] Единица измерения: Количество посещений [Переведено с en: английского языка] Примечание: Similarweb не предоставляет точных данных о количестве посещений веб-сайтов, которые посещают менее 5000 человек. В этих случаях используется приблизительная оценка в 4999 посещений. [Переведено с es: испанского языка] Источник данных: Цифровая обсерватория Десарролло (ODD) на основе Similarweb [Переведено с es: испанского языка] Последнее обновление: Feb 9 2024 1:04PM Организация-источник: Экономическая комиссия по Латинской Америке и Карибскому бассейну [Переведено с en: английского языка] Definition: Total traffic to 15 artificial intelligence sites from fixed and mobile computers per country. Thematic Area: Information and Communication Technologies Application Area: Artificial intelligence Unit of Measurement: Number of visits Note: Similarweb does not provide an exact number of visits for websites that receive fewer than 5,000 visits. In these cases, an approximate estimate of 4,999 is used. Data Source: Observatorio de Desarrollo Digital (ODD) based on Similarweb Last Update: Feb 9 2024 1:04PM Source Organization: Economic Comission for Latin America and the Caribbean

Our dataset focuses on detecting clickbait web pages, especially those commonly found in news media websites. To address this specific task, we recognize the need for a curated dataset tailored to clickbait detection. In addition to content analysis, we also explore link information, studying the relationships between web pages. Clickbait articles tend to cluster together, often belonging to the same domain or interconnected through buttons like "NEXT" or "Read More." We call such instances "clustered clickbait." Clustered clickbait articles offer very little valuable information and unnecessarily extend content to excessive lengths, sometimes spanning over 20-30 web pages. This can lead to a loss of interest and trust from the general public, even if some of these domains contain genuinely valuable content To distinguish between clustered clickbait and well-formed articles, we curated a diverse dataset containing samples from numerous domains. This dataset includes both clustered clickbait and well-formed articles, providing a comprehensive resource for training and evaluating clickbait detection models

Contains view count data for the top 20 pages each day on the Somerville MA city website dating back to 2020. Data is used in the City's dashboard which can be found at https://www.somervilledata.farm/.

Discover the booming Alternative Data Provider market, projected to reach [estimated 2033 value] by 2033 with a 9% CAGR. This comprehensive analysis explores market drivers, trends, restraints, key players (Preqin, Dataminr, etc.), and regional insights. Learn about the potential of alternative data in BFSI, retail, and more.

A complete list of live websites using the Similar Posts Ai Spai technology, compiled through global website indexing conducted by WebTechSurvey.

Discover the booming Alternative Data Vendor market! This comprehensive analysis reveals key trends, growth drivers, and leading companies shaping this $15B+ sector. Explore market segmentation, regional insights, and future projections for 2025-2033. Learn how alternative data fuels investment decisions and business intelligence.

Here is the updated list with web_events.csv included:

1. Orders Dataset:

   • Contains details of customer orders, including order dates, total order amounts (in USD), and associated customer IDs.
   • Helps analyze revenue trends, customer purchasing behavior, and seasonal patterns.

2. Accounts Dataset:

   • Represents customer account information such as account IDs, names, and sales representative assignments.
   • Useful for understanding customer demographics and their engagement with the company.

3. Regions Dataset:

   • Defines geographical regions managed by sales representatives, including region names and IDs.
   • Enables regional sales performance analysis and comparative insights across regions.

4. Sales Representatives Dataset:

   • Includes data on sales representatives, their IDs, names, and the regions they serve.
   • Helps link customer accounts to specific regions and analyze rep performance.

5. Web Events Dataset:

   • Logs customer interactions on the company's website, including timestamps, event types, and user IDs.
   • Helps track user activity, identify trends in website engagement, and optimize the online user experience.

These datasets collectively enable comprehensive insights into sales performance, customer behavior, website engagement, and regional trends, forming the backbone of the interactive dashboard.

Dashboard Link:

Click Here To Visit Dashboard 📊

Context One of the important tasks in SEO analysis, is to check rankings and product listings ads on search engines. This dataset contains Google serp (search engine result pages) for 500+ keywords related to pet food,funiture, clothing and a lot more, for both pc and mobile platforms.

Content 500+ keywords searched from 2 locations: san francisco and NYC United State Data includes organic search results, map results, PLA (product listing ads), top ads, bottom ads, merchant domains etc.

Contact info@barkingdata.com if you are interested to build similar types of SEO/SERP datasets. We specialize in web mining and web data harvesting from the world wide web (including mobile apps), we have built 5000+ datasets for researchers, analysts, scholars , retailers, ... Learn more from https://www.barkingdata.com

A complete list of live websites using the Comments Like Dislike technology, compiled through global website indexing conducted by WebTechSurvey.

Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification

This dataset contains two subsets of labeled website data, specifically created to enhance the performance of Homepage2Vec, a multi-label model for website classification. The datasets were generated using Large Language Models (LLMs) to provide more accurate and diverse topic annotations for websites, addressing a limitation of existing Homepage2Vec training data.

Key Features:

LLM-generated annotations: Both datasets feature website topic labels generated using LLMs, a novel approach to creating high-quality training data for website classification models.

Improved multi-label classification: Fine-tuning Homepage2Vec with these datasets has been shown to improve its macro F1 score from 38% to 43% evaluated on a human-labeled dataset, demonstrating their effectiveness in capturing a broader range of website topics.

Multilingual applicability: The datasets facilitate classification of websites in multiple languages, reflecting the inherent multilingual nature of Homepage2Vec.

Dataset Composition:

curlie-gpt3.5-10k: 10,000 websites labeled using GPT-3.5, context 2 and 1-shot

curlie-gpt4-10k: 10,000 websites labeled using GPT-4, context 2 and zero-shot

Intended Use:

Fine-tuning and advancing Homepage2Vec or similar website classification models

Research on LLM-generated datasets for text classification tasks

Exploration of multilingual website classification

Additional Information:

Project and report repository: https://github.com/CS-433/ml-project-2-mlp

Acknowledgments:

This dataset was created as part of a project at EPFL's Data Science Lab (DLab) in collaboration with Prof. Robert West and Tiziano Piccardi.

We developed a web spider(https://github.com/zjzshyq/Pixiv_Top_data_scraper) to crawl the dataset from pixiv.net, a prominent online platform where artists share their artwork. The website pixiv.net is widely recognized and highly regarded within the online art community, making it an ideal source for collecting data related to AI-generated artwork and user preferences.

The website pixiv.net provides a rich and diverse collection of artwork, including both AI-generated and hand-drawn creations. Artists from various backgrounds and genres contribute to the platform, resulting in a vast repository of artistic expressions.

The dataset we collected from top list of pixiv.net/ranking covers a specific period, starting from November of the previous year and spanning a continuous influx of AI-generated works. It comprises essential information related to the artworks, such as tags, views, likes, bookmarks, and comments. Specifically, we focused on the Top 50 artworks or pictures each day, ensuring a comprehensive representation of the most popular and engaging content within the online art community.

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By utilizing the data from pixiv.net, we are able to examine the dynamic relationship between AI-generated artwork and user preferences over time. This allows us to gain valuable insights into the evolving landscape of the online art community and understand the factors that influence the rankings and preferences of AI-generated images compared to hand-drawn artwork.

The data spanning from October 31, 2022, to May 15, 2023 from the top list of AI-generated and man-made image pages. After de-duplicating same image pages which may appear in top with different ranks and different days, we gathered the samples:

Number of all samples: 14576 Number of samples of AI-generated Artworks: 8092 Number of samples of Hand-drawn or man-made Artworks: 6484

What is the browser usage like in Belgium? Google Chrome was the most used internet browser in Belgium in December 2024 with a market share of over ** percent. This ranking consists of mobile, desktop, tablet as well as console browsers. This might explain the entries for some specific browsers, like Apple’s Safari (which is a desktop browser but comes pre-installed on iPhones) or Samsung Internet. The smartphone penetration in Flanders (the Dutch-speaking region of Belgium) was at ** percent in 2020. Internet access in Belgium is on the up…
In 2020, roughly ** percent of Belgian households had access to the Internet. This was the exact same as the European average of ** percent. Compared to other European countries, Belgium used to be considered below average when it comes to Internet access at home. This value increased in 2018, however, and has been increasing steadily in recent years. … as well as mobile Internet use Communication and entertainment are popular ways for Belgians to spend time on the Internet. Facebook and Facebook Messenger ranked among the most cited apps that were used every day in Belgium in 2017. This is much the same for teenagers from Flanders, although they also mention Instagram, Snapchat and YouTube as their preferred smartphone apps.

A. SUMMARY This dataset contains the underlying data for the Vision Zero Benchmarking website. Vision Zero is the collaborative, citywide effort to end traffic fatalities in San Francisco. The goal of this benchmarking effort is to provide context to San Francisco’s work and progress on key Vision Zero metrics alongside its peers. The Controller's Office City Performance team collaborated with the San Francisco Municipal Transportation Agency, the San Francisco Department of Public Health, the San Francisco Police Department, and other stakeholders on this project. B. HOW THE DATASET IS CREATED The Vision Zero Benchmarking website has seven major metrics. The City Performance team collected the data for each metric separately, cleaned it, and visualized it on the website. This dataset has all seven metrics and some additional underlying data. The majority of the data is available through public sources, but a few data points came from the peer cities themselves. C. UPDATE PROCESS This dataset is for historical purposes only and will not be updated. To explore more recent data, visit the source website for the relevant metrics. D. HOW TO USE THIS DATASET This dataset contains all of the Vision Zero Benchmarking metrics. Filter for the metric of interest, then explore the data. Where applicable, datasets already include a total. For example, under the Fatalities metric, the "Total Fatalities" category within the metric shows the total fatalities in that city. Any calculations should be reviewed to not double-count data with this total. E. RELATED DATASETS N/A

This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes layers depicting EnviroAtlas national metrics mapped at the 12-digit HUC within the conterminous United States. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The study uses different statistical techniques to understand the relationship between variables explaining the digital divide and classification based on The Inglehart-Welzel Cultural Map for 2023. To achieve this purpose variables focusing on Digital Penetration (the percentage of internet and social media users and mobile cellular connections), Operating Systems share (iOS and Android), Device Traffic (laptop/mobile phone-based web traffic) as well as Mobile Commerce variables (bills and payments using mobile internet) were included in the analysis. To minimize any effects arithmetic means of data was calculated.: The results from one-way ANOVA tests indicate significant differences among groups classified by cultural values for almost all measured variables of digitalization. The mean squares and F-values across variables like cellular mobile connections, internet users, and active social media users are significant indicating a shift towards more secular and self-expressive cultural values. The results of the GLM procedure show that significant portions of the total variance in digitalization variables are associated with membership in groups based on the cultural map. This suggests that cultural classifications can explain substantial differences in digital behavior and preferences across populations. Spearman’s correlation coefficients showed strong positive correlations between Traditional/Secular values and several digitalization metrics, such as the use of mobile phones or the internet for payments, and negative correlations with others like share of web traffic by device type (mobile vs. laptop/computer). These correlations suggest that cultural values play a substantial role in influencing digital habits and accessibility.

The Web Portal Operation industry is highly concentrated, with three companies controlling almost the entire industry; the largest company in the industry, Alphabet Inc, has a market share greater than 90% in 2025. This market concentration has fostered significant advertising revenue but made it exceedingly difficult for smaller web portals to survive. Yet, the presence of local champions like Yandex in Russia and Seznam in the Czech Republic demonstrates that regional portals can find niches, particularly where differentiated content or national digital policies shape market dynamics. Search engines generate most, if not all, of their revenue from advertising. Technological growth has led to more households being connected to the internet and a boom in e-commerce has made the industry increasingly innovative. Over the past decade, a boost in the percentage of households with internet access across Europe has supported revenue expansion, while strengthening technological integration with daily life has boosted demand for web portals. Industry revenue is expected to swell at a compound annual rate of 17.4% over the five years through 2025, including growth of 15% in 2025, to reach €74.9 billion. While profit is high, it is projected to dip amid hiking operational pressures, changing advertising dynamics and heightened regulatory compliance costs. A greater proportion of transactions being carried out online has driven innovation in targeted digital advertising, with declines in rival advertising formats like print media and television expanding the focus on digital marketing as a core strategy. Market leaders have maintained dominance via exclusive agreements, like Google’s multi-billion-euro deals to remain the default search engine on Apple and Android devices, embedding themselves deeper into users’ daily digital interactions. At the same time, the rise of privacy-first search engines like DuckDuckGo, Ecosia and Qwant reflects shifting consumer attitudes toward data privacy and environmental impact. However, Google's status as the default search provider on most mainstream platforms, coupled with robust integration through Chrome and Google's broader ecosystem, has significantly constrained market entry for competitors, perpetuating the industry’s concentration. The rise of the mobile advertising market and the proliferation of mobile devices mean there are plenty of opportunities for search engines, which are expected to capitalise on these trends further moving forward. Smartphones could disrupt the industry's status quo, as the rising popularity of devices that don’t use Google as the default engine benefits other web portals. Technological advancements that incorporate user data are likely to make it easier to tailor advertisements and develop new ways of using consumer data. Initiatives like the European Search Perspective (EUSP) joint venture between Ecosia and Qwant signal the beginnings of intensified competition, especially around privacy and regional digital sovereignty. Nonetheless, industry growth is set to continue, fuelled by surging demand for localised, targeted digital advertising and heightened investment in mobile marketing. Industry revenue is forecast to jump at a compound annual rate of 20.4% over the five years through 2030 to reach €189.7 billion.

A complete list of live websites using the Facebook Like Box technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Managed Posts Rating Like Button technology, compiled through global website indexing conducted by WebTechSurvey.