Lovoo V3 Dating App User Profiles And Statistics
Revealing popular user traits and behavior
@kaggle.thedevastator_lovoo_v3_dating_app_user_profiles_and_statistics
About this Dataset
Lovoo V3 Dating App User Profiles And Statistics
Lovoo v3 Dating App User Profiles and Statistics
Revealing popular user traits and behavior
By Jeffrey Mvutu Mabilama [source]
About this dataset
When Dating apps like Tinder began to become more popular, users wanted to create the best profiles possible in order to maximize their chances of being noticed and gain more potential encounters. Unlike traditional dating platforms, these new ones required mutual attraction before allowing two people to chat, making it all the more important for users to create a great profile that would give them an advantage over others.
It was amidst this scene that we Humans began paying attention at how charismatic and inspiring people presented themselves online. The most charismatic individuals tended to be the ones with the most followers or friends on social networks. This made us question what makes a great user profile and how one could make a lasting first impression in order ensure finding true love or even just some new friendships? How do we recognize a truly charismatic person from their presentation on social media? Is there any way of quantifying charisma?
In 2015 I set out with researching all this using Lovoo's newest dating app version -V3 (the iOS version), gathering user profile data such as age demographics, interest types (friendship, chatting or dating), language preferences etc., as well as usually unavailable metrics like number of profile visits, kisses received etc. I was also able to collect pictures of those user profiles in order discern any correlations between appeal and reputation that may have existed at that time amongst Lovoo's population base.
My goal is forthis dataset will help you answer those questions related not just romantic success but also popularity/charisma censes/demographic studies and even detect influential figures both within & outside Lovoo's platform . A starter analysis is available accompanying this dataset which can be used as a reference point when working with the data here. Using this dataset you can your own investigations into:
* What type of person has attracted more visitors or potential matches than others? * Which criteria can be used when determining someone’s charm/likability among others ? * How does one optimize his/her dating app profile visibility so he/she won’t remain unseen among other users?Grab this amazing opportunity now! Kick-start your journey towards understanding the inner workings behind success in online relationships today!
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How to use the dataset
To get started with this dataset first you need to download it from Kaggle. Once downloaded you should take a look at the column names in order to get an idea of what information is available. This data includes fields such as gender, age name (and nickname), number of pictures uploaded/profile visits/kisses /fans/gifts received and flirt interests (chatting or making friends). It also contains language specifics like detected languages for each user as well as country & city of residence.
The most interesting section for your research is likely the number of details that have been filled in for each user – such as whether they are interested in chatting or making friends. Usually these information points allow us to infer more about a person’s character – from jokester to serious individualist (or anything else!). The same holds true for their language preferences which might reveal aspects regarding their cultures orientation or habits.
You may also want collected data which was left out here - imagery associated with users' profiles - so please contact JfreexDatasets_bot on Telegram if you would like access to this imagery that has not yet been uploaded here on Kaggle but is intregral part of understanding what makes a great user profile attractive on these platforms according Aesthetics Theory applied in an uthentic way when considering how each image adds sentimental appeal value by its perspective content focus - be it visually descriptive; emotive narrative; personality coupled with expression mood association.. etcetera... Or simple just download relevant images yourself using automated scripts ready made via webiste Grammak where Github Repo exists: https://github.com/grammak580542008/Lovoo-v3-Profiles-Data # 1 year ago...
Finally moving ahead — keep in mind that there are other ways data can be gathered possible besides just downloading it from Kaggle – such us Messenger Bots or Customer Relationship Management systems which help companies serve better their customers using cognitive computing & machine learning algorithms under Knowledge Based Artificial Intelligence approach guiding users' interactions online & gain trust
Research Ideas
- Identifying influencers: The dataset can be used to identify potential influencers and study their profile characteristics. By analyzing the different variables associated with each user, such as the number of followers, profile visits, or interests, advertisers and promoters can find the most suitable profiles for advertising campaigns or product promotion.
- Analyzing first impression: The dataset can be used to analyze what factors make people attractive in a dating app context and how one can create an attractive online dating profile that stands out from the crowd. By investigating each column such as gender, age range, language spoken or location one can better understand which combinations make someone more appealing to potential dates in Lovoo v3 platform.
- Crafting personalized user experiences: The dataset contains a wealth of personal information including details about gender, age range and location which helpfully provides important information about potential user preferences that could be leveraged by creating personalized experiences tailored to individual Lovoo users. As an example they could leverage this data to target ads related to food delivery services taking into account where people live and send curated emails with local events nearby according to age range them may fit into
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: lovoo_v3_users_api-results.csv
| Column name | Description |
|---|---|
| gender | Gender of the user. (String) |
| genderLooking | Gender the user is looking for. (String) |
| age | Age of the user. (Integer) |
| name | Name of the user. (String) |
| counts_details | Number of details the user has provided. (Integer) |
| counts_pictures | Number of pictures the user has uploaded. (Integer) |
| counts_profileVisits | Number of times the user's profile has been visited. (Integer) |
| counts_kisses | Number of kisses the user has received. (Integer) |
| counts_fans | Number of fans the user has. (Integer) |
| counts_g | Number of gifts the user has received. (Integer) |
| flirtInterests_chat | Whether the user is interested in chatting. (Boolean) |
| flirtInterests_friends | Whether the user is interested in making friends. (Boolean) |
| flirtInterests_date | Whether the user is interested in dating. (Boolean) |
| country | Country of the user. (String) |
| city | City of the user. (String) |
| location | Location of the user. (String) |
| distance | Distance from the user. (Integer) |
| isFlirtstar | Whether the user is a flirtstar. (Boolean) |
| isHighlighted | Whether the user is highlighted. (Boolean) |
| isInfluencer | Whether the user is an influencer. (Boolean) |
| isMobile | Whether the user is using a mobile device. (Boolean) |
| isNew | Whether the user is new to the app. (Boolean) |
| isOnline | Whether the user is currently online. (Boolean) |
| isVip | Whether the user is a VIP. (Boolean) |
| lang_count | Number of languages the user speaks. (Integer) |
| lang_fr | Whether the user speaks French. (Boolean) |
| lang_en | Whether the user speaks English. (Boolean) |
| lang_de | Whether the user speaks German. (Boolean) |
| lang_it | Whether the user speaks Italian. (Boolean) |
| lang_es | Whether the user speaks Spanish. (Boolean) |
| lang_pt | Whether the user speaks Portuguese. (Boo |
| verified | Whether the user is verified. (Boolean) |
| shareProfileEnabled | Whether the user has enabled profile sharing. (Boolean) |
| lastOnlineDate | Date of the user's last online activity. (Date) |
| lastOnlineTime | Time of the user's last online activity. (Time) |
| birthd | Date of birth of the user. (Date) |
| crypt | Cryptographic hash of the user's profile. (String) |
| freetext | Free text field of the user's profile. (String) |
| whazzup | What's up field of the user's profile. (String) |
| isSystemProfile | Whether the user is a system profile. (Boolean) |
File: lovoo_v3_users_instances.csv
| Column name | Description |
|---|---|
| gender | Gender of the user. (String) |
| age | Age of the user. (Integer) |
| name | Name of the user. (String) |
| counts_pictures | Number of pictures the user has uploaded. (Integer) |
| counts_profileVisits | Number of times the user's profile has been visited. (Integer) |
| counts_kisses | Number of kisses the user has received. (Integer) |
| flirtInterests_chat | Whether the user is interested in chatting. (Boolean) |
| flirtInterests_friends | Whether the user is interested in making friends. (Boolean) |
| flirtInterests_date | Whether the user is interested in dating. (Boolean) |
| lang_count | Number of languages the user speaks. (Integer) |
| lang_fr | Whether the user speaks French. (Boolean) |
| lang_en | Whether the user speaks English. (Boolean) |
| lang_de | Whether the user speaks German. (Boolean) |
| lang_it | Whether the user speaks Italian. (Boolean) |
| lang_es | Whether the user speaks Spanish. (Boolean) |
| lang_pt | Whether the user speaks Portuguese. (Boo |
| city | City of the user. (String) |
| crypt | Cryptographic hash of the user's profile. (String) |
| distance | Distance from the user. (Integer) |
| whazzup | What's up field of the user's profile. (String) |
| isSystemProfile | Whether the user is a system profile. (Boolean) |
| connectedToFacebook | Whether the user is connected to Facebook. (Boolean) |
| isVIP | Whether the user is a VIP. (Boolean) |
| isVerified | Whether the user is verified. (Boolean) |
| lastOnline | Date and time of the user's last online activity. (String) |
| lastOnlineTs | Timestamp of the user's last online activity. (Integer) |
| locationCity | City of the user. (String) |
| locationCitySub | Sub-region of the user's city. (String) |
| userInfo_visitDate | Date and time of the user's last profile visit. (String) |
| countDetails | Number of details the user has provided. (Integer) |
| flirtstar | Whether the user is a flirtstar. (Boolean) |
| freshman | Whether the user is a freshman. (Boolean) |
| hasBirthday | Whether the user has provided their birthday. (Boolean) |
| highlighted | Whether the user is highlighted. (Boolean) |
| locked | Whether the user's profile is locked. (Boolean) |
| mobile | Whether the user is using a mobile device. (Boolean) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Jeffrey Mvutu Mabilama.