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Topic: [ANN][PRESALE]⭐ REPU ⭐ - Smart reputation managment - Pre-ICO Soon🚀🚀 - page 184. (Read 19313 times)

full member
Activity: 168
Merit: 100
Repu is a big big game changer in the rating sphere. They don't want to limit themselves to be able to give a point of view on a shop, restaurant and hotel, they also want to integrate a system where we will be able to give our point of view on goods like a bag, a bottle of wine ect... We will also be able to give a point of view on people. It could be useful for employers to be sure that they hire a good employee.
full member
Activity: 336
Merit: 112
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.

To tell the truth - we cannot guarantee 100% protection, like no one does. But we’ll do your best to reach about 99%.
Speaking about deleting reviews from blockchain - we won’t delete them, their will be disabled in users profile and marked as fraud. Smiley

Thanks for an honest answer. Yes, I also think 100% is impossible, because there are always ways to get through. I think something around 90% is already pretty good and if it's true that you already got to 95%, well that's impressive.
sr. member
Activity: 476
Merit: 250
i think repu project is first project is bringing new thing in social media with rating and feedback system. that is very interested and professionally, also repu project offers tokens for investors to join this project as like owner. each token holder is partner with repu and get parentage profit. that is amazing opportunity.
full member
Activity: 686
Merit: 100
I would love to see an Alpha version asap of this platform and witness its good effects to the crypto community. Smiley

when will alpha version available? is there any road map document available?
This is the wish of all of us, and I really hope it will happen, it will be wonderful to witness such a platform and be aware of its features and possibilities, some partnerships for the project also need to be in the Team work script
sr. member
Activity: 448
Merit: 250
I would love to see an Alpha version asap of this platform and witness its good effects to the crypto community. Smiley

when will alpha version available? is there any road map document available?
full member
Activity: 280
Merit: 106
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.

To tell the truth - we cannot guarantee 100% protection, like no one does. But we’ll do your best to reach about 99%.
Speaking about deleting reviews from blockchain - we won’t delete them, their will be disabled in users profile and marked as fraud. Smiley
I like this approach, I think that eventually they will write good algorithm of reviews verification - although 100% it's will not give result, because scammers also always find new ways for manipulation.
I think it will be too much work if they want to find a new way.
The REPU team will always be 1 step ahead and resolve it will be more easier.
The verification and filters are good.
I really hope that they can keep up with pace and always be ahead of their competition
full member
Activity: 644
Merit: 101
how will you contend with unfair reputation?

Good question! If a group of malafide actors is out to smur your reputation or something, unjustly!

No one? Someone from the dev team who can answer our question?
full member
Activity: 280
Merit: 106
IM really interested by the algorithm and how they will work. I think it can be very powerful if they are well developped and the accurate, reputation management is really big and I think it will be possible to have very good analysis with big data and the actual explosion of this industry.
Their team looks really serious and I like how professional is their approach to this platform  Wink
newbie
Activity: 28
Merit: 0
IM really interested by the algorithm and how they will work. I think it can be very powerful if they are well developped and the accurate, reputation management is really big and I think it will be possible to have very good analysis with big data and the actual explosion of this industry.
sr. member
Activity: 420
Merit: 250
And what does the rating system give? Will this give more accuracy?
hero member
Activity: 1456
Merit: 567
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.

To tell the truth - we cannot guarantee 100% protection, like no one does. But we’ll do your best to reach about 99%.
Speaking about deleting reviews from blockchain - we won’t delete them, their will be disabled in users profile and marked as fraud. Smiley
I like this approach, I think that eventually they will write good algorithm of reviews verification - although 100% it's will not give result, because scammers also always find new ways for manipulation.
I think it will be too much work if they want to find a new way.
The REPU team will always be 1 step ahead and resolve it will be more easier.
The verification and filters are good.
full member
Activity: 490
Merit: 104
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.

To tell the truth - we cannot guarantee 100% protection, like no one does. But we’ll do your best to reach about 99%.
Speaking about deleting reviews from blockchain - we won’t delete them, their will be disabled in users profile and marked as fraud. Smiley
I like this approach, I think that eventually they will write good algorithm of reviews verification - although 100% it's will not give result, because scammers also always find new ways for manipulation.
jr. member
Activity: 168
Merit: 4
Sounds interesting) the Question is only about the integrity of the people who will write reviews!
member
Activity: 93
Merit: 10
smart reputation management is must have in today for security but it is most challenging filed also. It will take time to gain user trust. REPU got first hand at this and have good chance to succeed.
I don't think so. I think most people will be scared of the idea of this. It just sounds too futuristic and dangerous. If you get a bad rating this could impact both your professional and social environment.

You are looking at that problem only from one side. But the possibilities for recruiters and top-management are great - they can see the real professional skills of each employer, get reviews about their goods and services and so on.
Why we are sure, that most of people will use the system? Because of monetization - they'll get rewards for every review, moreover - they'll get the possibility to say "thank you" without tips Smiley

I don't think people outside of business just how big of a market it really is. It might seem trivial to people on the outside, but there is a legitimate need for it.
member
Activity: 156
Merit: 10
What are the advantages of rating and feedback system when we compared to existing systems? As an ordinary user, today's system already work as expected tho.
- we are providing a platform where you can rate or review not only the restaurant (for example) at all, but separately restaurant, officiant and every meal
- we are providing professional rating for recruiters - there is no need to use CV no more
- we are providing social rating for ordinary people
- every review is paying buy tokens Smiley
member
Activity: 156
Merit: 10
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.

To tell the truth - we cannot guarantee 100% protection, like no one does. But we’ll do your best to reach about 99%.
Speaking about deleting reviews from blockchain - we won’t delete them, their will be disabled in users profile and marked as fraud. Smiley
member
Activity: 266
Merit: 10
Presale is live!
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
I'm surprise that the results are already that high, the algorithms is very developed. When the finish it should de close to 100%.
full member
Activity: 616
Merit: 145
🚀🚀 ATHERO.IO 🚀🚀
how will you contend with unfair reputation?

This is something i hope they already kept into acxount because there will be all sort of manipulations otherwise

I already asked a similar question. It is something they will need to have a solution for. The more important such a reputation is, the more ways people will try to find to abuse or manipulate the system.

We have several stages of reviews verification:
- At first, we are using an AI machine moderation, that analyses more then 50 parameters, such as tone analyzer, IP, geolocation, reviews frequency etc.
- Some of the reviews automatically declined by the system, some of them will get manual filtration.
- Second important part - is user rating in the system - it consists of overall score, age of account, number of ratings given for others. If user has low rating or if its newbie in the system, the more filters are provided to his/her rating.
- Third part is that we are limiting the number of rating, which can post one account per day/week/month. It depends of user rating.

During pre-alpha-testing all of these factors showed 95% of fraud detection. But this is only pre-alpha and we are still working with the algorithms Smiley

95% is a lot considering that they wer pre alpha tests, what is your approach to get to near 100% ? It's possible to reach the 99% mark?
sr. member
Activity: 1022
Merit: 252
What are the advantages of rating and feedback system when we compared to existing systems? As an ordinary user, today's system already work as expected tho.
newbie
Activity: 70
Merit: 0
Hi, just for better understand, if you can not delete anything from the blockchain how do you think to protect yourself/ your customers from false or offensive reviews?
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