Slice: geo_recommendations

The popularity of the heading depending on the time

Morning/day/evening/night X day off or working day

The number of photos

The amount of deep clicks, divided into median_ -sufferers on the main section

For the main section of the organization - the number of organizations in this section

For the main section of the organization - the number of organizations with diplies in this section

Gender Female)

Income (low)

Income (average)

Age (0-17)

Age (18-24)

Age (25-34)

Age (35-44)

Female gender, men like men

Paul Male, Women Like the Category

Paul women, heading shopping center

The income is low, the average check in the restaurant is very high

The income is low, the average check in the restaurant is high

The income is average, the average check in the restaurant is very high

Medium income, average check in the restaurant is high

The income is high, the average check in the restaurant is low

Age 45-99, heading game club

Age 45-99, Rubrica Anticafe

Age 45-99, Night Club Category

Age 0-17, Restaurant Category

Age 0-17, Rubric bar, pub

Age 0-17, headline

Age 0-17, the heading that children like

Age 0-17, heading shopping center

Age 0-17, Category Theater

Age 18-24, cinema section

Age 25-34, cinema section

Theaterups segment, Roll Theater/Music Club

Section concerts, heading theater/music club

Theater Service 2, Category Theater/Music Club

Cinema segment, cinema section

Cinema visitors segment, cinema section

Segment buy tickets in KinoPoisk, cinema section

Asian cuisine segment

Segment Italian cuisine

Caucasian cuisine segment

Segment Russian cuisine

Segment of the Mediterranean cuisine

The segment is French cuisine

Japanese cuisine segment

The segment is visited by restaurants, a cafe section, restaurants ...

The segment is visited by clubs, a musical heading, a night club ...

Sports segment, beach section, water park ...

Segment Children, Railway Zoo, Dolphinarium ...

Total boost by crypt to factors

The number of clicks made by users, about which there is a crypt information

The average floor of the user, balanced on his clicks on the organization

The average love for the user movie, balanced for his clicks on the organization

The number of deep clicks for Org1 requests made by users, about which there are crypto information

The average income of the user interested in this organization in ORG1 requests

On the heading: the second love of Italian cuisine

According to the heading: average probability [user age in 18-24], balanced by the number of rubric queries

According to the heading: average probability [age in 25-34] user, balanced by the number of rubric queries

According to the heading: average love of user sports, balanced for the number of clicks on rubric queries

On the heading: average love of user sports, balanced by the number of Deep clicks for rubric queries

According to the heading: the average floor of the user who was shown an organization with such a section

On the heading: the average floor of the user, weighed to show organizations with such a section

According to the heading: average love for French food, weighed on clicks by organizations with such a section

On the heading: the middle floor weighed on Deep clicks by organizations with such a section

According to the heading: the average probability [the user has children], weighed on deep clicks by organizations with such a section

According to the heading: average love for Italian cuisine, weighed on Deep clicks by organizations with such a section

On the network: the average probability [user has children 11-16 years old], weighed to clicks on network requests

The number of clicks on organizations of this network

On the network: average love for the Mediterranean cuisine of users who showed the organizations of this network

The density of organizations sigma = 50

The density of SIGMA organizations = 100

Sigma density = 200

Sigma density = 400

Sigma density = 800

Sigma density = 1600

The density of organizations Sigma = 3200

The density of organizations from this section Sigma = 50

The density of organizations from this section Sigma = 100

The density of organizations from this section Sigma = 200

The density of organizations from this section Sigma = 400

The density of organizations from this section Sigma = 800

The main photo in the directory

Aesthetics of the main photo

Text in the main photo

Steps at the entrance to the building in the main photo

Kitchen in the main photo

Building factor in the main photo

Building factor in the main photo

Building factor in the main photo

Building factor in the main photo

Activity (shows+clicks+diplics) of the user in OID. Suspended

P+K+user DC in ORG1 Requests to TOP-1. Suspended

P+K+user's DC in the Request section. Suspended

P+K+DC user in the section of the document. Suspended

P+K+user DC in the network in the request. Suspended

P+K+DC user to the network of a document. Suspended

User activity in Byak. Weighed as well

User activity in the male. Weighed as well

User activity in Navi. Weighed as well

xFactor collaborative filtering on OID

xFactor collaborative section

xFactor collaborative filtering on the network

P+K+DC user in the section of the document. Suspended for the popularity of the heading and prescription

In this factor, information about pessimization is put in

A random additive to a faster is placed in this factor

Cuttled distance to the organization

Pessimize, unwanted organization

In this factor, information about Busts is placed

Beating by the presence of tripadvisor urla

Bewilder Tripadvisor Urla in the entertainment section

Bay by rating in Tripadvisor

Buster by the number of reviews in Tripadvisor