4 ms·

Everything in there makes sense imho except the Yellow Image Count. Anyone knows why that would be a factor?

by inerte 4y ago

encoderer 4y ago
No, but can you explain the distance to Ankara one?
- inerte 4y ago
  well now you're making me doubt myself, that's a weird one too. My first guess was "they need to know how far one request is from another, and Ankara is a good as any city" So say suppose you're in New Orleans and I am in San Jose, now we can compare our distance, because geographical distance usually equates to cultural differences and perceptions of quality.
  - sam_lowry_ 4y ago
    They have a Turkish version, so I guess this props up Turkish results to requests from Turkey (granted, Ankara is not exactly in the middle of the country ;-)
- stilldyl 4y ago
  Ankara is the nearest city to Kırşehir, considered by some to be the geographical centre of the world (as viewed on a typical flat map).
- thrwyndx 4y ago
  Ankara is the capital of Turkey. For RU, UA & BY locales they have separate ranking models for queries from their capitals, but not for TR. Maybe, guessing, they did not have enough data to build two TR models and this additional input feature was good enough
- RugnirViking 4y ago
  there was exactly one other similar one (Distance to Madagan) which is a random russian town. So I think it might be deciding which of their datacenters should serve the request?
  - ogurechny 4y ago
    It is a bit funny to see people trying to guess the meaning of something which is a common knowledge elsewhere. Puts a perspective on all the talk about “modern, global, connected, automatically translated world”. For a decade and a half, Yandex has had a codename for each big revision of search ranking algorithms and release of new search features. Most were city names, and Magadan was one of them. So “distance” is probably a distance to some rating introduced in that release. Whether it is a positive or negative factor (cutting obvious over-optimized sites), I have no idea.
- baybal2 4y ago
  [dead]
f311a 4y ago
I’m pretty sure yellow is a slang for a category of images. It could be ad images.
- inerte 4y ago
  Could be! Perhaps as in Yellow Pages?
  - ogurechny 4y ago
    https://en.wikipedia.org/wiki/Yellow_journalism https://en.wikipedia.org/wiki/Yellow_journalism In other words, clickbait images from clickbait ad networks.
drusepth 4y ago
It's been a long time since I've read it, but I vaguely remember a write-up many years ago (before we used ML for NSFW detection) about how either yellow images would often produce false positives in popular detection algos, and/or about how the yellow-ness of an image could be used as a lower-tech proxy for basic NSFW detection (seemingly because of its proximity to some common skin tones). I don't know if either of these are relevant here, but it's possible a weight on Yellow Images could be related to NSFW images.
- drusepth 4y ago
  Upon closer inspection, they have a lot of weights regarding "yellowness" [0], and several of them say "based on Toloka", which is an antifraud service that assigns colors to violation levels [1]. So my suspicion above is probably wrong, and "yellow" images probably refer to a Toloka score/color for whatever domain the images are hosted on. [0] https://yandex-explorer.herokuapp.com/search?q=yellow&o=all https://yandex-explorer.herokuapp.com/search?q=yellow&o=all [1] https://join.toloka.ai/blog/project-limits/ https://join.toloka.ai/blog/project-limits/
  - patrakov 4y ago
    Wrong Toloka. Yandex has its own Toloka which is a crowdsourcing platform for repetitive tasks that inherently require a human in the loop. In other words, this factor comes from real human assessors hired via Toloka.

Everything in there makes sense imho except the Yellow Image Count. Anyone knows why that would be a factor?

by inerte 4y ago

Everything in there makes sense imho except the Yellow Image Count. Anyone knows why that would be a factor?

encoderer 4y ago

No, but can you explain the distance to Ankara one?

inerte 4y ago
well now you're making me doubt myself, that's a weird one too. My first guess was "they need to know how far one request is from another, and Ankara is a good as any city" So say suppose you're in New Orleans and I am in San Jose, now we can compare our distance, because geographical distance usually equates to cultural differences and perceptions of quality.
- sam_lowry_ 4y ago
  They have a Turkish version, so I guess this props up Turkish results to requests from Turkey (granted, Ankara is not exactly in the middle of the country ;-)
stilldyl 4y ago
Ankara is the nearest city to Kırşehir, considered by some to be the geographical centre of the world (as viewed on a typical flat map).
thrwyndx 4y ago
Ankara is the capital of Turkey. For RU, UA & BY locales they have separate ranking models for queries from their capitals, but not for TR. Maybe, guessing, they did not have enough data to build two TR models and this additional input feature was good enough
RugnirViking 4y ago
there was exactly one other similar one (Distance to Madagan) which is a random russian town. So I think it might be deciding which of their datacenters should serve the request?
- ogurechny 4y ago
  It is a bit funny to see people trying to guess the meaning of something which is a common knowledge elsewhere. Puts a perspective on all the talk about “modern, global, connected, automatically translated world”. For a decade and a half, Yandex has had a codename for each big revision of search ranking algorithms and release of new search features. Most were city names, and Magadan was one of them. So “distance” is probably a distance to some rating introduced in that release. Whether it is a positive or negative factor (cutting obvious over-optimized sites), I have no idea.
baybal2 4y ago
[dead]

f311a 4y ago

I’m pretty sure yellow is a slang for a category of images. It could be ad images.

inerte 4y ago
Could be! Perhaps as in Yellow Pages?
- ogurechny 4y ago
  https://en.wikipedia.org/wiki/Yellow_journalism https://en.wikipedia.org/wiki/Yellow_journalism In other words, clickbait images from clickbait ad networks.

drusepth 4y ago

It's been a long time since I've read it, but I vaguely remember a write-up many years ago (before we used ML for NSFW detection) about how either yellow images would often produce false positives in popular detection algos, and/or about how the yellow-ness of an image could be used as a lower-tech proxy for basic NSFW detection (seemingly because of its proximity to some common skin tones). I don't know if either of these are relevant here, but it's possible a weight on Yellow Images could be related to NSFW images.

drusepth 4y ago
Upon closer inspection, they have a lot of weights regarding "yellowness" [0], and several of them say "based on Toloka", which is an antifraud service that assigns colors to violation levels [1]. So my suspicion above is probably wrong, and "yellow" images probably refer to a Toloka score/color for whatever domain the images are hosted on. [0] https://yandex-explorer.herokuapp.com/search?q=yellow&o=all https://yandex-explorer.herokuapp.com/search?q=yellow&o=all [1] https://join.toloka.ai/blog/project-limits/ https://join.toloka.ai/blog/project-limits/
- patrakov 4y ago
  Wrong Toloka. Yandex has its own Toloka which is a crowdsourcing platform for repetitive tasks that inherently require a human in the loop. In other words, this factor comes from real human assessors hired via Toloka.