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Alternately, it could be because there are more women than men on eHarmony: So given their numbers advantage, guys may actually be selling themselves slightly short. How do men and women describe themselves differently? We can plot the frequency with which men and women use certain adjectives to describe themselves. Words above the line are more commonly used by men, and words below the line by women. Words used more by men Words used more by women 1. This turns out not to be the case: Of course, men and women differ in many other ways in terms of what they want in a mate. Attractiveness matters more for women; on the x-axis I plot attractiveness for both men and women, and on the y-axis how likely they are to get a response.

Collaborative filtering dataset – dating agency

Reference 1 Abstract This exploratory data analysis firstly provides a preliminary analysis of the data quality of the Yahoo Dating dataset. An executive summary is followed to explain the most important findings in this study. In the main analysis, it focuses on finding geographic characteristics and patterns on the users of Yahoo Dating as well as describe the processes.

In the end, a conclusion is provided to wrap up the analysis, which leads to the limitations and future directions.

– to study temporal population changes, this is a dataset of just age and gender of users at this point in time (with the same filters as above). Anonymized user ids will map to users in the other file, if the user existed in both.

Help NOAA predict, observe and protect our changing planet by making your own contributions toward a greater understanding of our Earth and its diverse systems. We work with a diverse set of partners to coordinate the citizen science opportunities we offer. The National Weather Service provides training, equipment, and additional support through equipment maintenance and site visits.

PING volunteers can spend a little or a lot of time making and recording ground truth observations using the PING project website or mobile phone app. NOAA also needs your help in analyzing historic weather and other environmental data: The existing global intensity record contains uncertainties caused by differences in analysis procedures around the world and through time. Scientists need help because patterns in storm imagery are best recognized by the human eye. After many people review the same image online, scientists will use their feedback to come up with a new global tropical cyclone dataset that will provide 3-hourly tropical cyclone intensity estimates, confidence intervals, and a wealth of other metadata that could not be realistically obtained in any other fashion.

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The OkCupid Blog

October 12th, by Steve Waters 5 min read Personal experiences and opinions may vary, but the numbers speak for themselves: The world is full of cringe-worthy mistakes, missteps, and horror stories. On the plus side, there are some valuable lessons to be learned from online dating, since sales prospecting is very similar: Here are the top five mistakes that online daters make — that sales can avoid.

Here is a dataset from a czech dating site – LibimSeTi: Collaborative filtering dataset – dating agency Here’s a private-entry Kaggle contest using this data: Stat / Online Dating Profile Recommender Some of the challenges of profile matchi.

A national survey by Pew Research Center, conducted June July 12, , among 2, adults, finds that: The share of to year-olds who report having used online dating has nearly tripled in the last two years. For young adults in particular, this overall increase in online dating usage has been accompanied by a dramatic increase in the use of mobile dating apps. These young adults are now more likely than any other age group to use mobile dating apps.

As was the case in previous Pew Research Center surveys of online dating , college graduates and the relatively affluent are especially likely to know people who use online dating or to know people who have entered into a relationship that began online. Those who have tried online dating offer mixed opinions about the experience — most have a positive outlook, even as they recognize certain downsides Users of online dating are generally positive — but far from universally so — about the pros and cons of dating digitally.

On one hand, a majority of online dating users agree that dating digitally has distinct advantages over other ways of meeting romantic partners: On the other hand, a substantial minority of these users agree that meeting people online can have potential negative consequences: Overall, men and women who have used online dating tend to have similar views of the pros and cons — with one major exception relating to personal safety.

Tinder is making women miserable according to new study

Reports can be broken down by countries, regions, counties or local authorities over a defined period of time dating back to January They can then be further tailored to a variety of reporting options including indicators, property categories or sales volumes. Reports can be based on location, tenure, price paid or property type over a defined period of time. Our Price Paid Data tracks the residential property sales in England and Wales that are lodged with us for registration.

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By Mary-Ann Russon March 2, According to a forum post seen by Motherboard Vice , a hacker has succeeded in breaching the website, stealing the account details for over 27 million users, and then selling the details on to someone else through a deal brokered on the Hell forum. The hacker said that the he managed to compromise the Mate1.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from to.

By Aaron Smith and Maeve Duggan One in ten Americans have used an online dating site or mobile dating app themselves, and many people now know someone else who uses online dating or who has found a spouse or long-term partner via online dating. General public attitudes towards online dating have become much more positive in recent years, and social networking sites are now playing a prominent role when it comes to navigating and documenting romantic relationships.

Online dating is also relatively popular among the college-educated, as well as among urban and suburban residents. Attitudes towards online dating are becoming more positive over time Even today, online dating is not universally seen as a positive activity—a significant minority of the public views online dating skeptically. At the same time, public attitudes towards online dating have grown more positive in the last eight years: In general, online daters themselves give the experience high marks.

Yet even some online daters view the process itself and the individuals they encounter on these sites somewhat negatively. People in nearly every major demographic group—old and young, men and women, urbanites and rural dwellers—are more likely to know someone who uses online dating or met a long term partner through online dating than was the case eight years ago. And this is especially true for those at the upper end of the socio-economic spectrum:

15% of American Adults Have Used Online Dating Sites or Mobile Dating Apps

About five years ago, I was doing development work for a dating website. They were an early stage startup, but were starting to see some initial traction. Unlike other dating websites, this company marketed themselves with a squeaky clean reputation. Fueled by millions in venture capital this was prior to the recession in the United States , their online advertisements regarding true love and finding a soulmate converted like gangbusters.

In online dating, algorithms are what help sort through all of the data we’re inputting, and they’re what ultimately match us with others using the same service.

This model is used in the paper. This model is smaller, faster and slightly better than the VGG16 model. It is recommended that you download the full system here , which will automatically download all the needed models and data. Mulimodal Compact Bilinear Pooling for VQA The current state-of-the-art model for visual question answering, as described in the following paper: We also provide our AlexNet model which was trained on ImageNet with the Stanford dogs test data excluded.

No bounding box or part annotations were used for fine-tuning. Details and evaluation results can be found at https: We fine-tuned this model using the procedure described in I. Please, remember to cite our paper below, if you use our model, thanks. Includes ResNet generation script, training code and log files.

If you find this useful, please remember to cite of paper below:

Create Mailing Labels in Word using Mail Merge from an Excel Data Set


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