Final score for this submission (out of 100):

Languages: 13.32
News EN: 44.9
News RU: 43.79
Categories EN: 26.17
Categories RU: 50.52
Threads EN: 33.08
Threads RU: 30.29
Top news EN: 10.64
Top news RU: 31.38

These data reflect the relative accuracy, precision and speed of the algorithm as compared to the other submissions.

In our preliminary tests, this submission received the following scores (out of 100):

Languages: 93
News EN: 69
News RU: 89
Categories EN: 53
Categories RU: 71
Threads EN: 60
Threads RU: 42
Top EN: 50
Top RU: 60

This is not the final result, please stay tuned for updates. We apologize for the delay.

В ходе предварительного тестирования алгоритма были выявлены следующие недостатки в ранжировании:

– Большое количество чрезмерно широких сюжетов в разделе ‘Main’. Большое количество сюжетов состоит из одной статьи. Отсутствуют многие главные сюжеты в разделе ‘Main’ и внутри категорий. 

– Сортировка сюжетов внутри категорий по количеству статей. Заголовки части сюжетов слишком размытые (информация не подаётся в краткой нейтральной форме).

– Нарушена сортировка статей в сюжетах: релевантные статьи смешаны с нерелевантными.

We had to fix the following issues before running the algorithm and will apply relevant penalties during the final scoring:
- invalid languages output format, fixed "lang_codes" => "lang_code"
- invalid news output format, fixed [{}] => {}

Fast algorithm!
Thread quality is low though - it seems you glue everything that has N matching words into a thread, which sometimes is completely wrong. Still pretty decent result per time spent - makes sense to use as 1st level system, with more advanced approach processing these results to reduce overall time

Low precision of news detection.
Many news are classified as non-news in English. At the same time, many "5 things you need to know"-type articles end up in the top. E.g., the Economy top is dominated by ads.