Feature Descriptions

The 50 most popular meta data features as well as the 16 latent properties factors are excluded in this table.
You can sort the columns by clicking on the table headers.


Feature Name Brief Description
ci_aircondition Has aircondition? (Crawled)
ci_bar Has a bar? (Crawled)
ci_gym Has a gym? (Crawled)
ci_itemgroup Categorical group (Crawled)
ci_lat Latitude (Crawled)
ci_lng Longitude (Crawled)
ci_parking Has a parking lot? (Crawled)
ci_partner Is Trivago Partner? (Crawled)
ci_pets Allows pets? (Crawled)
ci_pool Has a Pool? (Crawled)
ci_rating_per_price Rating price ratio (Crawled)
ci_restaurant Has a restaurant? (Crawled)
ci_spa Has a spa? (Crawled)
ci_stars Number of stars (Crawled)
ci_stars_per_price Stars price ratio (Crawled)
ci_superior Is a superior hotel? (Crawled)
ci_wifi_lobby Has WiFi in the lobby? (Crawled)
ci_wifi_room Has Wifi in the room? (Crawled)
city City identifier
combine_pop_click_per_impression_all_count Click popularity / number of item impression * item count in session
combine_pop_click_per_view_all_count Click popularity / number of item interactions * item count in session
day Day of the week
device Device identifier
distance_city Haversine distance to city center
distance_last Haversine distance to last poi, city center otherwise
distance_last_per_price Distance price ratio
distance_last_per_rating Distance rating ratio
features Number of hotel properties
filter_count Number of filters in the session
filter_current_match_session Intersection of current filter column and item properties
filter_match_session Intersection of all filters in session and item properties
hour Hour of the day adjusted to platform timezone
hour_cat1 Mapping to night, morning, afternoon, and evening
hour_cat2 Shifted mapping to night, morning, afternoon, and evening
ii_count Number of images
ii_partner_count Number of partner sites providing images
ii_partner_max Partern identifiert with maximum number of images
impressions Item identifier
latent_sim_bprc_click128 Cosine similarity for BPR latent vectors (128, only clicks)
latent_sim_bprc_click32 Cosine similarity for BPR latent vectors (32, only clicks)
latent_sim_bprc_item128 Cosine similarity for BPR latent vectors (128, all interactions)
latent_sim_bprc_item32 Cosine similarity for BPR latent vectors (32, all interactions)
latent_sim_d2v_click32 Cosine similarity for Doc2Vec latent vectors (32, only clicks)
latent_sim_d2v_item32 Cosine similarity for Doc2Vec latent vectors (32, all interactions)
lc_ci_stars_permean1 Stars / mean stars of 3 items (1 above and below)
lc_ci_stars_permean2 Stars / mean stars of 5 items (2 above and below)
lc_ci_stars_permean3 Stars / mean stars of 7 items (3 above and below)
lc_ci_stars_permean4 Stars / mean stars of 9 items (4 above and below)
lc_ci_stars_post1 Difference to stars of the item 1 below
lc_ci_stars_post2 Difference to stars of the item 2 below
lc_ci_stars_post3 Difference to stars of the item 3 below
lc_ci_stars_pre1 Difference to stars of the item 1 above
lc_ci_stars_pre2 Difference to stars of the item 2 above
lc_ci_stars_pre3 Difference to stars of the item 3 above
lc_distance_last_permean1 Distance / mean stars of 3 items (1 above and below)
lc_distance_last_permean2 Distance / mean stars of 5 items (2 above and below)
lc_distance_last_permean3 Distance / mean stars of 7 items (3 above and below)
lc_distance_last_permean4 Distance / mean stars of 9 items (4 above and below)
lc_distance_last_post1 Difference to distance of the item 1 below
lc_distance_last_post2 Difference to distance of the item 2 below
lc_distance_last_post3 Difference to distance of the item 3 below
lc_distance_last_pre1 Difference to distance of the item 1 above
lc_distance_last_pre2 Difference to distance of the item 2 above
lc_distance_last_pre3 Difference to distance of the item 3 above
lc_prices_permean1 Price / mean stars of 3 items (1 above and below)
lc_prices_permean2 Price / mean stars of 5 items (2 above and below)
lc_prices_permean3 Price / mean stars of 7 items (3 above and below)
lc_prices_permean4 Price / mean stars of 9 items (4 above and below)
lc_prices_post1 Difference to price of the item 1 below
lc_prices_post2 Difference to price of the item 2 below
lc_prices_post3 Difference to price of the item 3 below
lc_prices_pre1 Difference to price of the item 1 above
lc_prices_pre2 Difference to price of the item 2 above
lc_prices_pre3 Difference to price of the item 3 above
lc_ri_rating_index_permean1 Rating / mean stars of 3 items (1 above and below)
lc_ri_rating_index_permean2 Rating / mean stars of 5 items (2 above and below)
lc_ri_rating_index_permean3 Rating / mean stars of 7 items (3 above and below)
lc_ri_rating_index_permean4 Rating / mean stars of 9 items (4 above and below)
lc_ri_rating_index_post1 Difference to rating of the item 1 below
lc_ri_rating_index_post2 Difference to rating of the item 2 below
lc_ri_rating_index_post3 Difference to rating of the item 3 below
lc_ri_rating_index_pre1 Difference to rating of the item 1 above
lc_ri_rating_index_pre2 Difference to rating of the item 2 above
lc_ri_rating_index_pre3 Difference to rating of the item 3 above
lc_ri_rating_percentage_permean1 Exact rating / mean stars of 3 items (1 above and below)
lc_ri_rating_percentage_permean2 Exact rating / mean stars of 5 items (2 above and below)
lc_ri_rating_percentage_permean3 Exact rating / mean stars of 7 items (3 above and below)
lc_ri_rating_percentage_permean4 Exact rating / mean stars of 9 items (4 above and below)
lc_ri_rating_percentage_post1 Difference to exact rating of the item 1 below
lc_ri_rating_percentage_post2 Difference to exact rating of the item 2 below
lc_ri_rating_percentage_post3 Difference to exact rating of the item 3 below
lc_ri_rating_percentage_pre1 Difference to exact rating of the item 1 above
lc_ri_rating_percentage_pre2 Difference to exact rating of the item 2 above
lc_ri_rating_percentage_pre3 Difference to exact rating of the item 3 above
num_impressions Number of items in displayed list
platform Platform identifier
pop_all Number of all item interactions
pop_all_per_impression Number of all item interactions / number of item impressions
pop_click Number of item clicks
pop_click_per_deal Number of item clicks / item deal interactions
pop_click_per_image Number of item clicks / item image interactions
pop_click_per_impression Number of item clicks / item impressions
pop_click_per_rating Number of item clicks / item rating interactions
pop_click_per_view Number of item clicks / item interactions (not click)
pop_click_per_view_sessions Number of sessions with item clicks / sessions with item interactions (not click)
pop_deal Number of item deal interactions
pop_deal_per_impression Number of item deal interactions / item impressions
pop_image Number of item image interactions
pop_image_per_impression Number of item image interactions / item impressions
pop_impressions Number of impression
pop_platform_* Same as pop but for the specific platform
pop_rating Number of item rating interactions
pop_rating_per_impression Number of item rating interactions / item impressions
pop_view Number of item interactions (no click)
pop_view_per_impression Number of item interactions (no click) / item impressions
pos_city_max Maximum clicked position in city
pos_city_mean Mean clicked position in city
pos_city_mean_dist Difference to mean clicked position in city
pos_city_min Min clicked position in city
pos_city_platform_max Maximum clicked position in city for the platform
pos_city_platform_mean Mean clicked position in city for the platform
pos_city_platform_mean_dist Difference to mean clicked position in city for the platform
pos_city_platform_min Min clicked position in city for the platform
pos_click_city_count Clicks on this position in the city
pos_click_city_platform_count Clicks on this position in the city for the platform
pos_click_city_platform_ratio Clicks on this position in the city on the platform / clicks for the city  on the platform
pos_click_city_ratio Clicks on this position in the city / clicks for the city
pos_click_count Clicks on this position
pos_click_device_count Clicks on this position on this device
pos_click_device_ratio Clicks on this position on this device / clicks on this device
pos_click_platform_count Clicks on this position on this platform
pos_click_platform_ratio Clicks on this position on this platform / Clicks on this platform
pos_click_ratio Clicks on this position / overall clicks
pos_device_mean Mean clicked position on this device type
pos_device_mean_dist Difference to mean clicked position on this device type
pos_invfilter_count Current list different without indicating log entry
pos_item_dist Difference to mean item click position
pos_item_max Maximum item click position
pos_item_mean Mean item click position
pos_item_min Min item click position
pos_platform_mean Mean clicked position on this platform
pos_platform_mean_dist Difference to mean clicked position on this platform
pos_session_2last Second last interaction position in session
pos_session_altering Last interaction position smaller than second last position?
pos_session_click_2last Second last clicked position in session
pos_session_click_altering Last clicked position smaller than second last position?
pos_session_click_direction pos_session_click_last - pos_session_click_2last
pos_session_click_dist Difference to last clicked position
pos_session_click_last Last clicked position
pos_session_click_max Max clicked position in session
pos_session_click_mean Mean clicked position in session
pos_session_click_min Min clicked position in session
pos_session_direction pos_session_last - pos_session_2last
pos_session_dist Difference to last interaction position
pos_session_last Last interaction position
pos_session_max Max interaction position in session
pos_session_mean Mean interaction position in session
pos_session_min Min interaction position in session
pos_session_click_wrong_* Similar to pos_session_click_*. Ignoring problems in the data, where the last displayed list doesnt fit the previous interactions.
position Position in displayed list
price_city_all_dist Difference to mean price in city for all item interactions
price_city_all_mean Mean price in city for all item interactions
price_city_all_minmax_dist Min-max normalized price in city for all item interactions
price_city_all_permean Price / mean price in city for all item interactions
price_city_click_dist Difference to mean price in city for all item clicks
price_city_click_mean Mean price in city for all item clicks
price_city_click_minmax_dist Min-max normalized price in city for all item clicks
price_city_click_permean Price / mean price in city for all item clicks
price_city_impressions_dist Difference to mean price in city for all item impressions
price_city_impressions_mean Mean price in city for all item impressions
price_city_impressions_minmax_dist Min-max normalized price in city for all item impressions
price_city_impressions_permean Price / price in city for all item impressions
price_city_platform_* Same as price_city_* for a specific paltform
price_city_view_dist Difference to mean price in city for all item interactions (no click)
price_city_view_mean Mean price in city for all item interactions  (no click)
price_city_view_minmax_dist Min-max normalized price in city for all item interactions  (no click)
price_city_view_permean Price / mean price in city for all item interactions  (no click)
price_item_* Same as price_city_* for a specific item
price_platform_* Same as price_city_* for a specific platform
price_list_impressions_dist Difference to mean price of displayed hotel list
price_list_impressions_mean Mean price of displayed hotel list
price_list_impressions_permean Price / mean price of displayed hotel list
properties_match_session_intersect Intersection of all hotel properties in session / properties of candidate item
properties_match_session_union Jaccard index of the union of all hotel properties in session and the properties of the candidate item
rank_distance Ranking (1 to 25) by distance
rank_distance_price Ranking (1 to 25) by distance price ratio
rank_distance_rating Ranking (1 to 25) by distance rating ratio
rank_pop_count Ranking (1 to 25) by item click, view, impression popularity
rank_pop_relative Ranking (1 to 25) by item click session ratio, click per view, click per impression
rank_prices Ranking (1 to 25) by prices
rank_rating Ranking (1 to 25) by rating
rank_rating_price Ranking (1 to 25) by rating price ratio
rank_sum Borda count over the ranking features for the displayed list
ratio_rating_click_count Number of clicks on rating
ratio_rating_click_ratio Clicks on rating / overall clicks
ratio_rating_click_device_* Similar to ratio_rating_click_* for specific device
ratio_rating_click_platform_* Similar to ratio_rating_click_* for specific platform
ratio_rating_click_city_* Similar to ratio_rating_click_* for specific city
ratio_stars_* Similar to ratio_rating_*
ri_awards Has an award? (crawled)
ri_breakfast Has breakfast included? (crawled)
ri_cleanliness Rating for cleanliness (crawled)
ri_comfort Rating for comfort (crawled)
ri_facilities Rating for facilities (crawled)
ri_food_and_drinks Rating for food and drinks (crawled)
ri_hotel_condition Rating for condition (crawled)
ri_location Rating for location (crawled)
ri_rating_advertiser Is a rating advertised? (crawled)
ri_rating_count Number of ratings (crawled)
ri_rating_index Rating from 1 to 5 (crawled)
ri_rating_percentage Exact rating in percent (crawled)
ri_room Rating for rooms (crawled)
ri_service Rating for service (crawled)
ri_tested Is tested? (crawled)
ri_value_for_money Value for money score (crawled)
session_all_count Session length
session_{action}_count Number of actions of type {actions} in the session
session_{action}_count_rel Number of actions of type {actions} in the session / session length
session_dwell Sum of dwell times
session_dwell_max Maximum dwell time
session_dwell_mean Mean dwell time
session_dwell_min Min dwell time
session_item_{action}_count Number of actions for the item of type {actions} in the session
session_item_{action}_count_rel Number of actions for the item of type {actions} in the session / session length
session_item_{action}_linear Cummulative sum for item actions of type {actions}, when applying a linear decay to the session steps starting with 1 for the last step
session_item_{action}_mrr Cummulative sum for item actions of type {actions}, when applying an mrr-like decay to the session steps starting with 1 for the last step
session_item_dwell Sum of item dwell times
session_item_dwell_max Maximum dwell time for the item
session_item_dwell_mean Mean dwell time for the item
session_item_dwell_min Min dwell time for the item
session_item_max_step Maximum step for the item in the session
session_item_max_time Distance to last interaction for item in the session in seconds
session_item_min_step Min step for the item in the session
session_item_min_time Distance to first interaction for item in the session in seconds
session_last_action Last interaction type in the session
session_last_all_filter Last filter applied in the session
session_last_all_poi Last poi selected in the session
session_last_all_sort Last sorting applied in the session
session_last_filter Last filter applied in the session for the same city
session_last_poi Last poi selected in the session for the same city
session_last_sort Last sorting applied in the session for the same city
session_size Session length
session_sort_{reference} Occured search/filter reference {reference} in the session
session_city_* Similar to session_item_* but for the specific city instead of the item
user_all_count Number of all user interactions
user_item_all_count Number of user interactions for the item excluding the current session
user_item_all_count_rel Number of user interactions for the item / all user interactions
user_distance_click_last_mean Mean clicked distance for the user
user_distance_click_last_mean_dist Difference to mean clicked distance for the user
user_distance_all_last_mean Mean distance of all interactions for the user
user_distance_all_last_mean_dist Difference to mean distance of all interactions for the user
user_distance_city_* Same as user_distance_* for a specific city
user_price_all_mean Mean price of all interactions for the user
user_price_all_mean_dist Difference to mean price of all interactions for the user
user_price_all_city_all_permean_dist Difference of price to mean price of all user interactions, both normalized by mean impression price in the city
user_price_all_city_impressions_permean_dist Difference of price to mean price of all user interactions, both normalized by mean interaction price in the city
user_price_all_platform_all_permean_dist Difference of price to mean price of all user interactions, both normalized by mean impression price on the platform
user_price_all_platform_impressions_permean_dist Difference of price to mean price of all user interactions, both normalized by mean interaction price on the platform
user_price_all_city_platform_all_permean_dist Difference of price to mean price of all user interactions, both normalized by mean impression price for the city on the platform
user_price_all_city_platform_impressions_permean_dist Difference of price to mean price of all user interactions, both normalized by mean interaction price for the city on the platform
user_price_click_* Same as user_price_all_* for only click events
user_price_city_* Similar to user_price_*, but for the current city
user_rating_click_mean Mean clicked rating for the user
user_rating_click_mean_dist Difference to mean clicked rating for the user
user_rating_all_mean Mean rating of all interactions for the user
user_rating_all_mean_dist Difference to mean rating of all interactions for the user
user_rating_city_* Similar to user_rating_* for a specific city