public async Task <MostPopularItems> GetMostPopularItems(string userId)
{
MostPopularItems results = null;
try
{
//USER_PERSONALIZATION -- userid required
var request = new GetRecommendationsRequest
{
CampaignArn = AwsParameterStoreClient.GetSimsMostPopularArn(), //sims-most-popular
UserId = userId,
NumResults = 10
};
var response = await AmazonPersonalizeRuntimeClient.GetRecommendationsAsync(request);
var recommendedItems = response.ItemList;
var json = JsonConvert.SerializeObject(recommendedItems);
Logger.LogInformation("GetMostPopularItems for userid:" + userId + ": " + json);
results = new MostPopularItems();
List <string> itemIds = recommendedItems.Select(s => s.ItemId).ToList();
results.Movies = await _storageService.GetMovieData(itemIds.ToArray());
return(results);
}
catch (Exception ex)
{
throw;
}
}
/// <summary>
/// Returns a list of recommended items. For campaigns, the campaign's Amazon Resource
/// Name (ARN) is required and the required user and item input depends on the recipe
/// type used to create the solution backing the campaign as follows:
///
/// <ul> <li>
/// <para>
/// USER_PERSONALIZATION - <code>userId</code> required, <code>itemId</code> not used
/// </para>
/// </li> <li>
/// <para>
/// RELATED_ITEMS - <code>itemId</code> required, <code>userId</code> not used
/// </para>
/// </li> </ul> <note>
/// <para>
/// Campaigns that are backed by a solution created using a recipe of type PERSONALIZED_RANKING
/// use the API.
/// </para>
/// </note>
/// <para>
/// For recommenders, the recommender's ARN is required and the required item and user
/// input depends on the use case (domain-based recipe) backing the recommender. For information
/// on use case requirements see <a href="https://docs.aws.amazon.com/personalize/latest/dg/domain-use-cases.html">Choosing
/// recommender use cases</a>.
/// </para>
/// </summary>
/// <param name="request">Container for the necessary parameters to execute the GetRecommendations service method.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
///
/// <returns>The response from the GetRecommendations service method, as returned by PersonalizeRuntime.</returns>
/// <exception cref="Amazon.PersonalizeRuntime.Model.InvalidInputException">
/// Provide a valid value for the field or parameter.
/// </exception>
/// <exception cref="Amazon.PersonalizeRuntime.Model.ResourceNotFoundException">
/// The specified resource does not exist.
/// </exception>
/// <seealso href="http://docs.aws.amazon.com/goto/WebAPI/personalize-runtime-2018-05-22/GetRecommendations">REST API Reference for GetRecommendations Operation</seealso>
public virtual Task <GetRecommendationsResponse> GetRecommendationsAsync(GetRecommendationsRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var options = new InvokeOptions();
options.RequestMarshaller = GetRecommendationsRequestMarshaller.Instance;
options.ResponseUnmarshaller = GetRecommendationsResponseUnmarshaller.Instance;
return(InvokeAsync <GetRecommendationsResponse>(request, options, cancellationToken));
}
internal virtual GetRecommendationsResponse GetRecommendations(GetRecommendationsRequest request)
{
var options = new InvokeOptions();
options.RequestMarshaller = GetRecommendationsRequestMarshaller.Instance;
options.ResponseUnmarshaller = GetRecommendationsResponseUnmarshaller.Instance;
return(Invoke <GetRecommendationsResponse>(request, options));
}
/// <summary>
/// Initiates the asynchronous execution of the GetRecommendations operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the GetRecommendations operation on AmazonPersonalizeRuntimeClient.</param>
/// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param>
/// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback
/// procedure using the AsyncState property.</param>
///
/// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndGetRecommendations
/// operation.</returns>
/// <seealso href="http://docs.aws.amazon.com/goto/WebAPI/personalize-runtime-2018-05-22/GetRecommendations">REST API Reference for GetRecommendations Operation</seealso>
public virtual IAsyncResult BeginGetRecommendations(GetRecommendationsRequest request, AsyncCallback callback, object state)
{
var options = new InvokeOptions();
options.RequestMarshaller = GetRecommendationsRequestMarshaller.Instance;
options.ResponseUnmarshaller = GetRecommendationsResponseUnmarshaller.Instance;
return(BeginInvoke(request, options, callback, state));
}
public async Task <PersonalizeViewModel> GetRecommendations(string userId)
{
PersonalizeViewModel results = null;
try
{
//USER_PERSONALIZATION -- userid required
var request = new GetRecommendationsRequest
{
CampaignArn = AwsParameterStoreClient.GetPersonalRecommendationsArn(), //personal-recommendations-metadata
UserId = userId,
NumResults = 10
};
var response = await AmazonPersonalizeRuntimeClient.GetRecommendationsAsync(request);
var recommendedItems = response.ItemList;
var json = JsonConvert.SerializeObject(recommendedItems);
Logger.LogInformation("GetRecommendations:" + userId + ": " + json);
results = new PersonalizeViewModel {
User = new User()
{
User_Id = userId
}
};
//get movie thumbnail from imdb
IList <RecommendedItems> recItems = new List <RecommendedItems>();
List <string> itemIds = recommendedItems.Select(s => s.ItemId).ToList();
results.RecommendedItems.Movies = await _storageService.GetMovieData(itemIds.ToArray());
return(results);
}
catch (Exception ex)
{
throw;
}
}
public async Task <SimilarItemViewModel> GetSimilarItems(string movieItemId)
{
SimilarItemViewModel results = null;
try
{
//RELATED_ITEMS -- itemId required
var relateditemsrequest = new GetRecommendationsRequest
{
CampaignArn = AwsParameterStoreClient.GetSimsArn(), //sims-arn
ItemId = movieItemId,
NumResults = 10
};
var relateditemsrequestresponse = await AmazonPersonalizeRuntimeClient.GetRecommendationsAsync(relateditemsrequest);
var relateditemsrequestrecommendedItems = relateditemsrequestresponse.ItemList;
var json = JsonConvert.SerializeObject(relateditemsrequestrecommendedItems);
Logger.LogInformation("GetSimilarItems for movie:" + movieItemId + ": " + json);
results = new SimilarItemViewModel
{
//selected movie
Movie = await _storageService.GetMovieData(movieItemId)
};
List <string> itemIds = relateditemsrequestrecommendedItems.Select(s => s.ItemId).ToList();
results.SimilarItems.Movies = await _storageService.GetMovieData(itemIds.ToArray());
return(results);
}
catch (Exception ex)
{
throw;
}
}
