Please me internet with filter
Soon, web services will recommend us not only listening music, but also a country of residence, and a partner for marriage. In this case, which is characteristic, always guess. A mechanism with a furious title “collaborative filtering” is actually a fairly simple idea. It is based on the following assumption: those who agreed in the past will agree with the similar in the future. For example, Last.Fm is able to fairly accurately predict which song a user will like, having an incomplete list of his likes and dislikes in music.
Please note: this forecast is completely individual, although information is collected from many participants. This approach is fundamentally different from the more primitive, giving for each object of interest “the average temperature in the hospital,” that is, the average estimate of the majority - this is what IMDB does, for example.
Otherwise, it makes the Russian recommendation service Livediscourse . This is a blog platform with cross-posting on the social network that can comment on any page on the Internet (for more information about the functionality of a startup, and it is quite wide, you can read here).
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I asked the creator of Livediscourse Vitaly Fedosyuk how his service is going to select friends and enemies, like the tracks in Lastfm.
- How exactly can a user of “Discourse” receive system recommendations?
On the main page of LiveDiscourse there is a filter phrase "The most popular per day according to like-minded people." This is collaborative content filtering. There is one “but”: this option appears when you already have like-minded people. And in order for them to appear, you need to vote on 10 opinions or polls.
You can also filter by opponents: in this case we have a reverse recommendation for those who like to look for “holivarny” topics.
- After testing the service, the question arises: what is the difference between "friends" and "like-minded people"?
Friends are those whom you added yourself, and like-minded people, as well as opponents, are selected automatically according to the results of your and other people's votes. A like-minded person is one with whom you agree in 75% of cases, an opponent - with whom you disagree in more than half of cases.
If you go to the LiveDiscourse-user profile and click on “opinions”, you can see exactly what your views coincide and diverge. In this case, before voting, the system will try to predict your opinion in advance, based on an analysis of the votes of your like-minded people and opponents.
- In the “Forecasts” section there is a “Betting Amount” and “Relative Success” - what is this option?
“Forecasts” are made on the principle of exchange. Read more about it here: ru.wikipedia.org/wiki/Prediction_market
In short, such a market of predictions in a playful, user-friendly form allows, with a high degree of probability, to predict any events using “collective intelligence”.
- What are points for? Can they be changed for something?
Not yet, they will be used as the local currency of the service. Although in the future the exchange of forecasts will work with real money.
Please note: this forecast is completely individual, although information is collected from many participants. This approach is fundamentally different from the more primitive, giving for each object of interest “the average temperature in the hospital,” that is, the average estimate of the majority - this is what IMDB does, for example.
Otherwise, it makes the Russian recommendation service Livediscourse . This is a blog platform with cross-posting on the social network that can comment on any page on the Internet (for more information about the functionality of a startup, and it is quite wide, you can read here).
')
I asked the creator of Livediscourse Vitaly Fedosyuk how his service is going to select friends and enemies, like the tracks in Lastfm.
- How exactly can a user of “Discourse” receive system recommendations?
On the main page of LiveDiscourse there is a filter phrase "The most popular per day according to like-minded people." This is collaborative content filtering. There is one “but”: this option appears when you already have like-minded people. And in order for them to appear, you need to vote on 10 opinions or polls.
You can also filter by opponents: in this case we have a reverse recommendation for those who like to look for “holivarny” topics.
- After testing the service, the question arises: what is the difference between "friends" and "like-minded people"?
Friends are those whom you added yourself, and like-minded people, as well as opponents, are selected automatically according to the results of your and other people's votes. A like-minded person is one with whom you agree in 75% of cases, an opponent - with whom you disagree in more than half of cases.
If you go to the LiveDiscourse-user profile and click on “opinions”, you can see exactly what your views coincide and diverge. In this case, before voting, the system will try to predict your opinion in advance, based on an analysis of the votes of your like-minded people and opponents.
- In the “Forecasts” section there is a “Betting Amount” and “Relative Success” - what is this option?
“Forecasts” are made on the principle of exchange. Read more about it here: ru.wikipedia.org/wiki/Prediction_market
In short, such a market of predictions in a playful, user-friendly form allows, with a high degree of probability, to predict any events using “collective intelligence”.
- What are points for? Can they be changed for something?
Not yet, they will be used as the local currency of the service. Although in the future the exchange of forecasts will work with real money.
Source: https://habr.com/ru/post/132593/
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