Author: alspi

ru fact snippet dssm query candidate score

neocortex text to text embed cosine

neocortex text to host embed cosine

if query contains all rhs numbers

query len in utf8 chars

rhs len in utf8 chars

answer len

if query and rhs share question word

The ratio of the number of times when the host was shown on a Serpa with a fact to a total number of times when the host was present on the Serpa.

Palace of words in snippet after filtering

Average similarity to SNiPPTs to switch words

The best coincidence according to the words in Actsnipp (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The second coincidence in the words in Actsnippe (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The third coincidence according to the words in Actsnipp (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The fourth coincidence according to Actsnippe (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

the number of coincidences according to the acts differing from the best not more than 90%

the number of coincidences according to the acts differing from the best by 80-90%

the number of coincidences according to the acts in the act of the best by 70-80%

the number of coincidences according to the acts in the act of the best by 60-70%

the number of coincidences according to the acts in the act of the best by 50-60%

The ratio of the number of times when the host was shown on a Serpa with a fact to a total number of times when the host was present on the Serpa.

The number of words in the factual fracture of Snippet (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

Average similarity to SNiPPTs to switch words

The best coincidence according to the words in Actsnipp (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The second coincidence in the words in Actsnippe (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The third coincidence according to the words in Actsnipp (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

The fourth coincidence according to Actsnippe (CI, the punctuation and words are also not taken into account of 3 characters not containing numbers)

the number of coincidences according to the acts differing from the best not more than 90%

the number of coincidences according to the acts differing from the best by 80-90%

the number of coincidences according to the acts in the act of the best by 70-80%

the number of coincidences according to the acts in the act of the best by 60-70%

the number of coincidences according to the acts in the act of the best by 50-60%

DSSM model trained on clicks, target=OneClicks/Clicks. Takes bigrams into account.

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

The time of adding a page, more - a more old document; The root is placed from time displayed at the interval [0.1] so that 3+ years gives 1.

Linguistic boosting factor. Type of extensions: QFUF. Factor: MixMatchweightedValue on Querydwelltime Stream. The average balanced values ​​of the expansion factor.

The average Dateraage value for the year for a year predicted using a neural network.

The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.

The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.

Dssm Boosting AvgTop02Score aggregation for XfWeight model over 5-means centroids (query as expansion).

The main components of the requesting Embling from the DSSMCTRNOMINER model

Double logarithm of the probability of a request for a language model of the Erratum typo service

The main components of the requesting Embling from the DSSMCTRNOMINER model

The number of URL shows on request, normalization x/(100 + x).