14 datasets found
  1. Dating App User Profiles' stats - Lovoo v3

    • kaggle.com
    Updated Jul 26, 2020
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    Jeffrey Mvutu Mabilama (2020). Dating App User Profiles' stats - Lovoo v3 [Dataset]. https://www.kaggle.com/jmmvutu/dating-app-lovoo-user-profiles/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 26, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Jeffrey Mvutu Mabilama
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Foreword

    This dataset is a preview of a bigger dataset. My Telegram bot will answer your queries for more data and also allow you to contact me.

    Context

    When Dating apps like Tinder were becoming viral, people wanted to have the best profile in order to get more matches and more potential encounters. Unlike other previous dating platforms, those new ones emphasized on the mutuality of attraction before allowing any two people to get in touch and chat. This made it all the more important to create the best profile in order to get the best first impression.

    Parallel to that, we Humans have always been in awe before charismatic and inspiring people. The more charismatic people tend to be followed and listened to by more people. Through their metrics such as the number of friends/followers, social networks give some ways of "measuring" the potential charisma of some people.

    In regard to all that, one can then think: - what makes a great user profile ? - how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? - what makes a person charismatic ? - how do charismatic people present themselves ?

    In order to try and understand those different social questions, I decided to create a dataset of user profile informations using the social network Lovoo when it came out. By using different methodologies, I was able to gather user profile data, as well as some usually unavailable metrics (such as the number of profile visits).

    Content

    The dataset contains user profile infos of users of the website Lovoo.

    The dataset was gathered during spring 2015 (april, may). At that time, Lovoo was expanding in european countries (among others), while Tinder was trending both in America and in Europe. At that time the iOS version of the Lovoo app was in version 3.

    Accessory image data

    The dataset references pictures (field pictureId) of user profiles. These pictures are also available for a fraction of users but have not been uploaded and should be asked separately.

    The idea when gathering the profile pictures was to determine whether some correlations could be identified between a profile picture and the reputation or success of a given profile. Since first impression matters, a sound hypothesis to make is that the profile picture might have a great influence on the number of profile visits, matches and so on. Do not forget that only a fraction of a user's profile is seen when browsing through a list of users.

    https://s1.dmcdn.net/v/BnWkG1M7WuJDq2PKP/x480" alt="App preview of browsing profiles">

    Details about collection methodology

    In order to gather the data, I developed a set of tools that would save the data while browsing through profiles and doing searches. Because of this approach (and the constraints that forced me to develop this approach) I could only gather user profiles that were recommended by Lovoo's algorithm for 2 profiles I created for this purpose occasion (male, open to friends & chats & dates). That is why there are only female users in the dataset. Another work could be done to fetch similar data for both genders or other age ranges.

    Regarding the number of user profiles It turned out that the recommendation algorithm always seemed to output the same set of user profiles. This meant Lovoo's algorithm was probably heavily relying on settings like location (to recommend more people nearby than people in different places or countries) and maybe cookies. This diminished the number of different user profiles that would be presented and included in the dataset.

    Inspiration

    As mentioned in the introduction, there are a lot of questions we can answer using a dataset such as this one. Some questions are related to - popularity, charisma - census and demographic studies. - Statistics about the interest of people joining dating apps (making friends, finding someone to date, finding true love, ...). - Detecting influencers / potential influencers and studying them

    Previously mentioned: - what makes a great user profile ? - how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? - what makes a person charismatic ? - how do charismatic people present themselves ?

    Other works: - A starter analysis is available on my data.world account, made using a SQL query. Another file has been created through that mean on the dataset page. - The kaggle version of the dataset might contain a starter kernel.

  2. Tinder Dataset

    • kaggle.com
    Updated Nov 19, 2024
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    ashleyxu98 (2024). Tinder Dataset [Dataset]. https://www.kaggle.com/datasets/ashleyxu98/tinder
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ashleyxu98
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    Link to github repo: https://github.com/Ashley-Xu/AIPIFinalDataset

    The dataset is intended for research, analysis, and innovation. All efforts have been made to anonymize the data to ensure that no individual can be identified or harmed by its use.

    Every effort has been made to uphold the privacy and confidentiality of the individuals whose data is represented in the dataset.

    The dataset may only be used for ethical, responsible, and non-exploitative purposes. Users of the dataset are expected to:

    Avoid any attempt to re-identify individuals or misuse the data in ways that could lead to harm, discrimination, or stigmatization. Adhere to applicable laws, regulations, and ethical guidelines relevant to data usage and research in their jurisdiction. Cite the dataset responsibly in any derivative work to maintain transparency about its source and limitations.

    The dataset may reflect biases inherent in the original data source and population. Researchers are encouraged to be aware of these limitations and to take steps to address or acknowledge biases in their work to prevent misleading conclusions or harmful applications.

    While every effort has been made to anonymize the data and protect privacy, no anonymization process is entirely risk-free. Users of the dataset assume full responsibility for ensuring that their research complies with ethical and legal standards.

    The data was collected from https://www.swipestats.io/ with appropriate permissions from the owner of the website.

    Open source license Community Data License Agreement – Sharing – Version 1.0

  3. R

    Tinder Dataset

    • universe.roboflow.com
    zip
    Updated Jul 21, 2025
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    test (2025). Tinder Dataset [Dataset]. https://universe.roboflow.com/test-ssqaa/tinder-mm6aq/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    test
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Good Bad
    Description

    Classification test of pictures of female people, in test of a research project based on classifying.

  4. m

    Bumble Inc - Free-Cash-Flow-To-The-Firm

    • macro-rankings.com
    csv, excel
    Updated Mar 20, 2025
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    macro-rankings (2025). Bumble Inc - Free-Cash-Flow-To-The-Firm [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=BMBL.US&Item=Free-Cash-Flow-To-The-Firm
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Free-Cash-Flow-To-The-Firm Time Series for Bumble Inc. Bumble Inc. provides online dating and social networking applications in North America, Europe, internationally. It owns and operates websites and applications that offers subscription and in-app purchases of products. The company operates apps, including Bumble, a dating app built with women at the center, where women make the first move; Badoo, the web and mobile free-to-use dating app; Bumble BFF and Bumble Bizz Modes that have a format similar to the date mode requiring users to set up profiles and matching users through yes and no votes, similar to the dating platform; and Bumble for Friends, a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections, as well as Geneva app where users can create and join chat, forum, audio, video, and broadcast rooms. The company was founded in 2020 in and is headquartered in Austin, Texas.

  5. c

    Based Tinder Price Prediction Data

    • coinbase.com
    Updated Sep 24, 2025
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    (2025). Based Tinder Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-based-tinder-0d46
    Explore at:
    Dataset updated
    Sep 24, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of Based Tinder for the upcoming years based on user-defined projections.

  6. m

    Bumble Inc - Total-Revenue

    • macro-rankings.com
    csv, excel
    Updated Aug 10, 2025
    + more versions
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    macro-rankings (2025). Bumble Inc - Total-Revenue [Dataset]. https://www.macro-rankings.com/markets/stocks/bmbl-nasdaq/income-statement/total-revenue
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Aug 10, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Total-Revenue Time Series for Bumble Inc. Bumble Inc. provides online dating and social networking applications in North America, Europe, internationally. It owns and operates websites and applications that offers subscription and in-app purchases of products. The company operates apps, including Bumble, a dating app built with women at the center, where women make the first move; Badoo, the web and mobile free-to-use dating app; Bumble BFF and Bumble Bizz Modes that have a format similar to the date mode requiring users to set up profiles and matching users through yes and no votes, similar to the dating platform; and Bumble for Friends, a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections, as well as Geneva app where users can create and join chat, forum, audio, video, and broadcast rooms. The company was founded in 2020 in and is headquartered in Austin, Texas.

  7. m

    Bumble Inc - Change-To-Inventory

    • macro-rankings.com
    csv, excel
    Updated Aug 24, 2025
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    macro-rankings (2025). Bumble Inc - Change-To-Inventory [Dataset]. https://www.macro-rankings.com/markets/stocks/bmbl-nasdaq/cashflow-statement/change-to-inventory
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Change-To-Inventory Time Series for Bumble Inc. Bumble Inc. provides online dating and social networking applications in North America, Europe, internationally. It owns and operates websites and applications that offers subscription and in-app purchases of products. The company operates apps, including Bumble, a dating app built with women at the center, where women make the first move; Badoo, the web and mobile free-to-use dating app; Bumble BFF and Bumble Bizz Modes that have a format similar to the date mode requiring users to set up profiles and matching users through yes and no votes, similar to the dating platform; and Bumble for Friends, a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections, as well as Geneva app where users can create and join chat, forum, audio, video, and broadcast rooms. The company was founded in 2020 in and is headquartered in Austin, Texas.

  8. Supplementary material 2 from: Klimenko GA (2024) Review of the Scientific...

    • zenodo.org
    • data.niaid.nih.gov
    pdf
    Updated Jul 24, 2024
    + more versions
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    German A. Klimenko; German A. Klimenko (2024). Supplementary material 2 from: Klimenko GA (2024) Review of the Scientific Literature on the Topic of Online Dating Services in a Demographic and Social Context. Population and Economics 8(2): 19-35. https://doi.org/10.3897/popecon.8.e104663 [Dataset]. http://doi.org/10.3897/popecon.8.e104663.suppl2
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    German A. Klimenko; German A. Klimenko
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Description of the dataset

  9. m

    Bumble Inc - Diluted-Average-Shares

    • macro-rankings.com
    csv, excel
    Updated Sep 18, 2025
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    macro-rankings (2025). Bumble Inc - Diluted-Average-Shares [Dataset]. https://www.macro-rankings.com/markets/stocks/bmbl-nasdaq/income-statement/diluted-average-shares
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 18, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Diluted-Average-Shares Time Series for Bumble Inc. Bumble Inc. provides online dating and social networking applications in North America, Europe, internationally. It owns and operates websites and applications that offers subscription and in-app purchases of products. The company operates apps, including Bumble, a dating app built with women at the center, where women make the first move; Badoo, the web and mobile free-to-use dating app; Bumble BFF and Bumble Bizz Modes that have a format similar to the date mode requiring users to set up profiles and matching users through yes and no votes, similar to the dating platform; and Bumble for Friends, a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections, as well as Geneva app where users can create and join chat, forum, audio, video, and broadcast rooms. The company was founded in 2020 in and is headquartered in Austin, Texas.

  10. c

    Tinder Swindler Price Prediction Data

    • coinbase.com
    Updated Sep 18, 2025
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    (2025). Tinder Swindler Price Prediction Data [Dataset]. https://www.coinbase.com/en-es/price-prediction/tinder-swindler
    Explore at:
    Dataset updated
    Sep 18, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of Tinder Swindler for the upcoming years based on user-defined projections.

  11. c

    Tinder Swindler Price Prediction Data

    • coinbase.com
    Updated Oct 14, 2025
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    (2025). Tinder Swindler Price Prediction Data [Dataset]. https://www.coinbase.com/en-ar/price-prediction/tinder-swindler
    Explore at:
    Dataset updated
    Oct 14, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Tinder Swindler over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  12. m

    Match Group Inc - Change-In-Working-Capital

    • macro-rankings.com
    csv, excel
    Updated Sep 22, 2025
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    macro-rankings (2025). Match Group Inc - Change-In-Working-Capital [Dataset]. https://www.macro-rankings.com/markets/stocks/mtch-nasdaq/cashflow-statement/change-in-working-capital
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Change-In-Working-Capital Time Series for Match Group Inc. Match Group, Inc. engages in the provision of digital technologies. It operates through four segments: Tinder, Hinge, Evergreen and Emerging, and Match Group Asia. The company's portfolio of brands includes Tinder, Hinge, Match, Meetic, OkCupid, Pairs, Plenty Of Fish, Azar, BLK, and other brands, built to increase users' likelihood of connecting with others. Its services are available in over 40 languages to users worldwide. The company was incorporated in 1986 and is based in Dallas, Texas.

  13. m

    Match Group Inc - Operating-Income

    • macro-rankings.com
    csv, excel
    Updated Sep 22, 2025
    + more versions
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    macro-rankings (2025). Match Group Inc - Operating-Income [Dataset]. https://www.macro-rankings.com/markets/stocks/mtch-nasdaq/income-statement/operating-income
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Operating-Income Time Series for Match Group Inc. Match Group, Inc. engages in the provision of digital technologies. It operates through four segments: Tinder, Hinge, Evergreen and Emerging, and Match Group Asia. The company's portfolio of brands includes Tinder, Hinge, Match, Meetic, OkCupid, Pairs, Plenty Of Fish, Azar, BLK, and other brands, built to increase users' likelihood of connecting with others. Its services are available in over 40 languages to users worldwide. The company was incorporated in 1986 and is based in Dallas, Texas.

  14. m

    Match Group Inc - Price-To-Book-Ratio

    • macro-rankings.com
    csv, excel
    Updated Sep 21, 2025
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    macro-rankings (2025). Match Group Inc - Price-To-Book-Ratio [Dataset]. https://www.macro-rankings.com/markets/stocks/mtch-nasdaq/key-financial-ratios/valuation/price-to-book-ratio
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 21, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Price-To-Book-Ratio Time Series for Match Group Inc. Match Group, Inc. engages in the provision of digital technologies. It operates through four segments: Tinder, Hinge, Evergreen and Emerging, and Match Group Asia. The company's portfolio of brands includes Tinder, Hinge, Match, Meetic, OkCupid, Pairs, Plenty Of Fish, Azar, BLK, and other brands, built to increase users' likelihood of connecting with others. Its services are available in over 40 languages to users worldwide. The company was incorporated in 1986 and is based in Dallas, Texas.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Jeffrey Mvutu Mabilama (2020). Dating App User Profiles' stats - Lovoo v3 [Dataset]. https://www.kaggle.com/jmmvutu/dating-app-lovoo-user-profiles/code
Organization logo

Dating App User Profiles' stats - Lovoo v3

User fame and behaviour on a dating app

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 26, 2020
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Jeffrey Mvutu Mabilama
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Foreword

This dataset is a preview of a bigger dataset. My Telegram bot will answer your queries for more data and also allow you to contact me.

Context

When Dating apps like Tinder were becoming viral, people wanted to have the best profile in order to get more matches and more potential encounters. Unlike other previous dating platforms, those new ones emphasized on the mutuality of attraction before allowing any two people to get in touch and chat. This made it all the more important to create the best profile in order to get the best first impression.

Parallel to that, we Humans have always been in awe before charismatic and inspiring people. The more charismatic people tend to be followed and listened to by more people. Through their metrics such as the number of friends/followers, social networks give some ways of "measuring" the potential charisma of some people.

In regard to all that, one can then think: - what makes a great user profile ? - how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? - what makes a person charismatic ? - how do charismatic people present themselves ?

In order to try and understand those different social questions, I decided to create a dataset of user profile informations using the social network Lovoo when it came out. By using different methodologies, I was able to gather user profile data, as well as some usually unavailable metrics (such as the number of profile visits).

Content

The dataset contains user profile infos of users of the website Lovoo.

The dataset was gathered during spring 2015 (april, may). At that time, Lovoo was expanding in european countries (among others), while Tinder was trending both in America and in Europe. At that time the iOS version of the Lovoo app was in version 3.

Accessory image data

The dataset references pictures (field pictureId) of user profiles. These pictures are also available for a fraction of users but have not been uploaded and should be asked separately.

The idea when gathering the profile pictures was to determine whether some correlations could be identified between a profile picture and the reputation or success of a given profile. Since first impression matters, a sound hypothesis to make is that the profile picture might have a great influence on the number of profile visits, matches and so on. Do not forget that only a fraction of a user's profile is seen when browsing through a list of users.

https://s1.dmcdn.net/v/BnWkG1M7WuJDq2PKP/x480" alt="App preview of browsing profiles">

Details about collection methodology

In order to gather the data, I developed a set of tools that would save the data while browsing through profiles and doing searches. Because of this approach (and the constraints that forced me to develop this approach) I could only gather user profiles that were recommended by Lovoo's algorithm for 2 profiles I created for this purpose occasion (male, open to friends & chats & dates). That is why there are only female users in the dataset. Another work could be done to fetch similar data for both genders or other age ranges.

Regarding the number of user profiles It turned out that the recommendation algorithm always seemed to output the same set of user profiles. This meant Lovoo's algorithm was probably heavily relying on settings like location (to recommend more people nearby than people in different places or countries) and maybe cookies. This diminished the number of different user profiles that would be presented and included in the dataset.

Inspiration

As mentioned in the introduction, there are a lot of questions we can answer using a dataset such as this one. Some questions are related to - popularity, charisma - census and demographic studies. - Statistics about the interest of people joining dating apps (making friends, finding someone to date, finding true love, ...). - Detecting influencers / potential influencers and studying them

Previously mentioned: - what makes a great user profile ? - how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? - what makes a person charismatic ? - how do charismatic people present themselves ?

Other works: - A starter analysis is available on my data.world account, made using a SQL query. Another file has been created through that mean on the dataset page. - The kaggle version of the dataset might contain a starter kernel.

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