Class: RecombeeApiClient::RecommendItemsToItemSegment

Inherits:
ApiRequest
  • Object
show all
Defined in:
lib/recombee_api_client/api/recommend_items_to_item_segment.rb

Overview

Recommends Items that are the most relevant to a particular Segment from a context [Segmentation](docs.recombee.com/segmentations).

Based on the used Segmentation, this endpoint can be used for example for:

  • Recommending articles related to a particular topic

  • Recommending songs belonging to a particular genre

  • Recommending products produced by a particular brand

You need to set the used context Segmentation in the Admin UI in the [Scenario settings](docs.recombee.com/scenarios) prior to using this endpoint.

The returned items are sorted by relevance (the first item being the most relevant).

It is also possible to use the POST HTTP method (for example, in the case of a very long ReQL filter) — query parameters then become body parameters.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from HashNormalizer

#camelize, #normalize_optional

Constructor Details

#initialize(context_segment_id, target_user_id, count, optional = {}) ⇒ RecommendItemsToItemSegment

  • *Required arguments*

    • context_segment_id -> ID of the segment from ‘contextSegmentationId` for which the recommendations are to be generated.

    • target_user_id -> ID of the user who will see the recommendations.

Specifying the targetUserId is beneficial because:

  • It makes the recommendations personalized

  • Allows the calculation of Actions and Conversions

in the graphical user interface,
as Recombee can pair the user who got recommendations
and who afterward viewed/purchased an item.

If you insist on not specifying the user, pass ‘null` (`None`, `nil`, `NULL` etc., depending on the language) to targetUserId. Do not create some special dummy user for getting recommendations, as it could mislead the recommendation models, and result in wrong recommendations.

For anonymous/unregistered users, it is possible to use, for example, their session ID.

- +count+ -> Number of items to be recommended (N for the top-N recommendation).
  • *Optional arguments (given as hash optional)*

    • scenario -> Scenario defines a particular application of recommendations. It can be, for example, “homepage”, “cart”, or “emailing”.

You can set various settings to the [scenario](docs.recombee.com/scenarios) in the [Admin UI](admin.recombee.com). You can also see the performance of each scenario in the Admin UI separately, so you can check how well each application performs.

The AI that optimizes models to get the best results may optimize different scenarios separately or even use different models in each of the scenarios.

- +cascadeCreate+ -> If a user of the given *targetUserId* doesn't exist in the database, it creates this user and returns some (non-personalized) recommendations. This allows, for example, rotations in the following recommendations for the user of the given *targetUserId*, as the user will be already known to the system.
- +returnProperties+ -> With `returnProperties=true`, property values of the recommended items are returned along with their IDs in a JSON dictionary. The acquired property values can be used to easily display the recommended items to the user.

Example response: “‘json

{
  "recommId": "0c6189e7-dc1a-429a-b613-192696309361",
  "recomms":
    [
      {
        "id": "tv-178",
        "values": {
          "description": "4K TV with 3D feature",
          "categories":   ["Electronics", "Televisions"],
          "price": 342,
          "url": "myshop.com/tv-178"
        }
      },
      {
        "id": "mixer-42",
        "values": {
          "description": "Stainless Steel Mixer",
          "categories":   ["Home & Kitchen"],
          "price": 39,
          "url": "myshop.com/mixer-42"
        }
      }
    ],
  "numberNextRecommsCalls": 0
}

“‘

- +includedProperties+ -> Allows specifying which properties should be returned when `returnProperties=true` is set. The properties are given as a comma-separated list.

Example response for ‘includedProperties=description,price`: “`json

{
  "recommId": "6842c725-a79f-4537-a02c-f34d668a3f80",
  "recomms": 
    [
      {
        "id": "tv-178",
        "values": {
          "description": "4K TV with 3D feature",
          "price": 342
        }
      },
      {
        "id": "mixer-42",
        "values": {
          "description": "Stainless Steel Mixer",
          "price": 39
        }
      }
    ],
  "numberNextRecommsCalls": 0
}

“‘

- +filter+ -> Boolean-returning [ReQL](https://docs.recombee.com/reql) expression, which allows you to filter recommended items based on the values of their attributes.

Filters can also be assigned to a [scenario](docs.recombee.com/scenarios) in the [Admin UI](admin.recombee.com).

- +booster+ -> Number-returning [ReQL](https://docs.recombee.com/reql) expression, which allows you to boost the recommendation rate of some items based on the values of their attributes.

Boosters can also be assigned to a [scenario](docs.recombee.com/scenarios) in the [Admin UI](admin.recombee.com).

- +logic+ -> Logic specifies the particular behavior of the recommendation models. You can pick tailored logic for your domain and use case.

See [this section](docs.recombee.com/recommendation_logics) for a list of available logics and other details.

The difference between ‘logic` and `scenario` is that `logic` specifies mainly behavior, while `scenario` specifies the place where recommendations are shown to the users.

Logic can also be set to a [scenario](docs.recombee.com/scenarios) in the [Admin UI](admin.recombee.com).

- +minRelevance+ -> **Expert option:** If the *targetUserId* is provided:  Specifies the threshold of how relevant must the recommended items be to the user. Possible values one of: "low", "medium", "high". The default value is "low", meaning that the system attempts to recommend a number of items equal to *count* at any cost. If there is not enough data (such as interactions or item properties), this may even lead to bestseller-based recommendations being appended to reach the full *count*. This behavior may be suppressed by using "medium" or "high" values. In such case, the system only recommends items of at least the requested relevance and may return less than *count* items when there is not enough data to fulfill it.

- +rotationRate+ -> **Expert option:** If the *targetUserId* is provided: If your users browse the system in real-time, it may easily happen that you wish to offer them recommendations multiple times. Here comes the question: how much should the recommendations change? Should they remain the same, or should they rotate? Recombee API allows you to control this per request in a backward fashion. You may penalize an item for being recommended in the near past. For the specific user, `rotationRate=1` means maximal rotation, `rotationRate=0` means absolutely no rotation. You may also use, for example, `rotationRate=0.2` for only slight rotation of recommended items.

- +rotationTime+ -> **Expert option:** If the *targetUserId* is provided: Taking *rotationRate* into account, specifies how long it takes for an item to recover from the penalization. For example, `rotationTime=7200.0` means that items recommended less than 2 hours ago are penalized.

- +expertSettings+ -> Dictionary of custom options.

- +returnAbGroup+ -> If there is a custom AB-testing running, return the name of the group to which the request belongs.


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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 144

def initialize(context_segment_id, target_user_id, count, optional = {})
  @context_segment_id = context_segment_id
  @target_user_id = target_user_id
  @count = count
  optional = normalize_optional(optional)
  @scenario = optional['scenario']
  @cascade_create = optional['cascadeCreate']
  @return_properties = optional['returnProperties']
  @included_properties = optional['includedProperties']
  @filter = optional['filter']
  @booster = optional['booster']
  @logic = optional['logic']
  @min_relevance = optional['minRelevance']
  @rotation_rate = optional['rotationRate']
  @rotation_time = optional['rotationTime']
  @expert_settings = optional['expertSettings']
  @return_ab_group = optional['returnAbGroup']
  @optional = optional
  @timeout = 3000
  @ensure_https = false
  @optional.each do |par, _|
    fail UnknownOptionalParameter.new(par) unless ["scenario","cascadeCreate","returnProperties","includedProperties","filter","booster","logic","minRelevance","rotationRate","rotationTime","expertSettings","returnAbGroup"].include? par
  end
end

Instance Attribute Details

#boosterObject (readonly)

Returns the value of attribute booster.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def booster
  @booster
end

#cascade_createObject (readonly)

Returns the value of attribute cascade_create.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def cascade_create
  @cascade_create
end

#context_segment_idObject (readonly)

Returns the value of attribute context_segment_id.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def context_segment_id
  @context_segment_id
end

#countObject (readonly)

Returns the value of attribute count.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def count
  @count
end

#ensure_httpsObject

Returns the value of attribute ensure_https.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 27

def ensure_https
  @ensure_https
end

#expert_settingsObject (readonly)

Returns the value of attribute expert_settings.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def expert_settings
  @expert_settings
end

#filterObject (readonly)

Returns the value of attribute filter.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def filter
  @filter
end

#included_propertiesObject (readonly)

Returns the value of attribute included_properties.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def included_properties
  @included_properties
end

#logicObject (readonly)

Returns the value of attribute logic.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def logic
  @logic
end

#min_relevanceObject (readonly)

Returns the value of attribute min_relevance.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def min_relevance
  @min_relevance
end

#return_ab_groupObject (readonly)

Returns the value of attribute return_ab_group.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def return_ab_group
  @return_ab_group
end

#return_propertiesObject (readonly)

Returns the value of attribute return_properties.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def return_properties
  @return_properties
end

#rotation_rateObject (readonly)

Returns the value of attribute rotation_rate.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def rotation_rate
  @rotation_rate
end

#rotation_timeObject (readonly)

Returns the value of attribute rotation_time.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def rotation_time
  @rotation_time
end

#scenarioObject (readonly)

Returns the value of attribute scenario.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def scenario
  @scenario
end

#target_user_idObject (readonly)

Returns the value of attribute target_user_id.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 25

def target_user_id
  @target_user_id
end

#timeoutObject

Returns the value of attribute timeout.



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 26

def timeout
  @timeout
end

Instance Method Details

#body_parametersObject

Values of body parameters as a Hash



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 175

def body_parameters
  p = Hash.new
  p['contextSegmentId'] = @context_segment_id
  p['targetUserId'] = @target_user_id
  p['count'] = @count
  p['scenario'] = @optional['scenario'] if @optional.include? 'scenario'
  p['cascadeCreate'] = @optional['cascadeCreate'] if @optional.include? 'cascadeCreate'
  p['returnProperties'] = @optional['returnProperties'] if @optional.include? 'returnProperties'
  p['includedProperties'] = @optional['includedProperties'] if @optional.include? 'includedProperties'
  p['filter'] = @optional['filter'] if @optional.include? 'filter'
  p['booster'] = @optional['booster'] if @optional.include? 'booster'
  p['logic'] = @optional['logic'] if @optional.include? 'logic'
  p['minRelevance'] = @optional['minRelevance'] if @optional.include? 'minRelevance'
  p['rotationRate'] = @optional['rotationRate'] if @optional.include? 'rotationRate'
  p['rotationTime'] = @optional['rotationTime'] if @optional.include? 'rotationTime'
  p['expertSettings'] = @optional['expertSettings'] if @optional.include? 'expertSettings'
  p['returnAbGroup'] = @optional['returnAbGroup'] if @optional.include? 'returnAbGroup'
  p
end

#methodObject

HTTP method



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 170

def method
  :post
end

#pathObject

Relative path to the endpoint



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 203

def path
  "/{databaseId}/recomms/item-segments/items/"
end

#query_parametersObject

Values of query parameters as a Hash. name of parameter => value of the parameter



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# File 'lib/recombee_api_client/api/recommend_items_to_item_segment.rb', line 197

def query_parameters
  params = {}
  params
end