export interface Promotion {
    /** The name of the promotion. */
    name?: string;
    /** The percentage of recommended items to apply the promotion to. */
    percentPromotedItems?: number;
    /** The Amazon Resource Name (ARN) of the filter used by the promotion. This filter defines the criteria for promoted items. For more information, see Promotion filters. */
    filterArn?: string;
    /** The values to use when promoting items. For each placeholder parameter in your promotion's filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corr */
    filterValues?: Record<string, any>;
}
export interface GetActionRecommendationsInput {
    /** The Amazon Resource Name (ARN) of the campaign to use for getting action recommendations. This campaign must deploy a solution version trained with a PERSONALIZED_ACTIONS recipe. */
    campaignArn?: string;
    /** The ARN of the filter to apply to the returned recommendations. For more information, see Filtering Recommendations. When using this parameter, be sure the filter resource is ACTIVE. */
    filterArn?: string;
    /** The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corres */
    filterValues?: Record<string, string>;
    /** The number of results to return. The default is 5. The maximum is 100. */
    numResults?: number;
    /** The user ID of the user to provide action recommendations for. */
    userId?: string;
}
export interface GetPersonalizedRankingInput {
    /** The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking. */
    campaignArn: string;
    /** A list of items (by itemId) to rank. If an item was not included in the training dataset, the item is appended to the end of the reranked list. If you are including metadata in recommendations, the ma */
    inputList: string[];
    /** The user for which you want the campaign to provide a personalized ranking. */
    userId: string;
    /** The contextual metadata to use when getting recommendations. Contextual metadata includes any interaction information that might be relevant when getting a user's recommendations, such as the user's c */
    context?: Record<string, string>;
    /** The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for a given user. For more information, see Filtering Recommendations. */
    filterArn?: string;
    /** The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corres */
    filterValues?: Record<string, string>;
    /** If you enabled metadata in recommendations when you created or updated the campaign, specify metadata columns from your Items dataset to include in the personalized ranking. The map key is ITEMS and t */
    metadataColumns?: Record<string, string[]>;
}
export interface GetRecommendationsInput {
    /** The Amazon Resource Name (ARN) of the campaign to use for getting recommendations. */
    campaignArn?: string;
    /** The contextual metadata to use when getting recommendations. Contextual metadata includes any interaction information that might be relevant when getting a user's recommendations, such as the user's c */
    context?: Record<string, string>;
    /** The ARN of the filter to apply to the returned recommendations. For more information, see Filtering Recommendations. When using this parameter, be sure the filter resource is ACTIVE. */
    filterArn?: string;
    /** The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corres */
    filterValues?: Record<string, string>;
    /** The item ID to provide recommendations for. Required for RELATED_ITEMS recipe type. */
    itemId?: string;
    /** If you enabled metadata in recommendations when you created or updated the campaign or recommender, specify the metadata columns from your Items dataset to include in item recommendations. The map key */
    metadataColumns?: Record<string, string[]>;
    /** The number of results to return. The default is 25. If you are including metadata in recommendations, the maximum is 50. Otherwise, the maximum is 500. */
    numResults?: number;
    /** The promotions to apply to the recommendation request. A promotion defines additional business rules that apply to a configurable subset of recommended items. */
    promotions?: Promotion[];
    /** The Amazon Resource Name (ARN) of the recommender to use to get recommendations. Provide a recommender ARN if you created a Domain dataset group with a recommender for a domain use case. */
    recommenderArn?: string;
    /** The user ID to provide recommendations for. Required for USER_PERSONALIZATION recipe type. */
    userId?: string;
}
/** Personalize Runtime service binding for Step Functions SDK integrations. */
export declare class PersonalizeRuntime {
    constructor();
    getActionRecommendations<T>(params: GetActionRecommendationsInput): Promise<T>;
    getPersonalizedRanking<T>(params: GetPersonalizedRankingInput): Promise<T>;
    getRecommendations<T>(params: GetRecommendationsInput): Promise<T>;
}
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