One of our key objectives is ... ... to bring people together. To make sure that we can do this, it is important to prevent spammers and fakers from getting contact to real users. In this transparency report - the seventh already - we explain what changed in the anti-spam systems over the last quarter and … Continue reading Seventh Transparency Report
One of our key objectives is ... ... to bring people together. To make sure that we can do this, it is important to prevent spammers and fakers from getting contact to real users. In this transparency report - the sixth already - we explain what changed in the anti-spam systems over the last quarter and … Continue reading Sixth Transparency Report
One of our key objectives is to bring people together. To make sure that we can do this, it is important to prevent spammers and fakers from getting contact to real users. In this transparency report - the fifth already - we explain what changed in the anti-spam systems over the last quarter and which observations … Continue reading Fifth Transparency Report
What has changed since the last anti-spam report? The most important and most influential change in the anti-spam system is a new machine-learning model for spam-detection. It is used by the artificial intelligence (AI) to detect spammers. By improving our model-training and by adding more data to the training phase, the AI became more reliable … Continue reading 4th Transparency Report (Q2 2017)
What has been done since the last report? We have released a new AI which features much smaller delay between actions (such as match-votes) and block of spammers. We have started to work on a new spam-detection engine which we call "entity reputation". It is expected to go live in late Q2/2017. This engine allows … Continue reading Third Transparency Report (Q1 2017)
This is how our anti-spam automation works Fake profiles are still a problem for dating platforms. A fact, that was also broadcast in a comparison done by the German ARD advice magazine “Vorsicht Verbraucherfalle” in December 2016. Result of the comparison: Among the investigated suppliers, LOVOO had the lowest proportion of fake profiles. Competitors clearly … Continue reading Second Fake and Spam Transparency Report
More transparency and openness is something we have written on the LOVOO flag and communicated previously. On these grounds, we want to publish a quarterly ‘Fake and Spam Transparency Report’ to provide some insight into our internal numbers related to our daily fight against spam. The first report mainly deals with basic terms and processes … Continue reading First Fake And Spam Transparency Report
