Try our conversational search powered by Generative AI!

Manoj Kumawat
Jun 1, 2022
  1145
(1 votes)

Working with product recommendations - Wishlist Recommendations

One of the useful features of Optmizely personalized contents is Product Recommendations. With Optimizely Product Recommendations, you can provide a personalized shopping experience for visitors to your e-commerce website. Personalization is based on website interaction such as order history, visitor profiles, and intelligent algorithms to suggest products of interest. A developer must first configure the tracking, personalization service, and recommendation widgets, then you can start working with Product Recommendations to define recommendations strategies using the Personalization Portal

A couple of days ago we integrated a widget for wishlist, Where users would see product recommendation based on their wishlist history. Below are the steps how you can do it step by step. This is the same configuration you can follow to create other widgets. 

Step 1 - Login to Personalization portal > Product Recommendations > Widgets > Create a new widget
For us this was wishlistWidget we needed on wishlist page. 

Step 2 - Configure the type of recommendations you would like to display on your website 
The algorithms are set to show Popular  only 3  recommendations. That way it would show us only 3 product recommendations.

Code > Wishlist > enable tracking 

private readonly TrackingDataFactory _trackingDataFactory;
private readonly ITrackingService _trackingService;
private readonly ServiceAccessor<IContentRouteHelper> _contentRouteHelperAccessor;

public async Task<TrackingResponseData> TrackWishlist(HttpContextBase httpContext)
{
      var trackingData = _trackingDataFactory.CreateWishListTrackingData(httpContext);

      return await InternalTrackAsync(trackingData, httpContext);
}

private async Task<TrackingResponseData> InternalTrackAsync(CommerceTrackingData commerceTrackingData, HttpContextBase httpContext)
{
	if (commerceTrackingData == null || httpContext == null)
	{
		return null;
	}

	var scope = _trackingDataFactory.GetCurrentTrackingScope();

	if (!string.IsNullOrEmpty(scope))
	{
		return await _trackingService.TrackAsync(commerceTrackingData, httpContext, _contentRouteHelperAccessor().Content, scope);
	}
	else
	{
		return await _trackingService.TrackAsync(commerceTrackingData, httpContext, _contentRouteHelperAccessor().Content);
	}
}

Next > Get recommendations

using EPiServer.Personalization.Commerce.Tracking;

public static IEnumerable<Recommendation> GetRecommendations(this TrackingResponseData response, ReferenceConverter referenceConverter, string area) => response.GetRecommendationGroups(referenceConverter)
									.Where(x => (!string.IsNullOrEmpty(area) && x.Area.IsEqual(area)) 
									|| string.IsNullOrEmpty(area))
									.SelectMany(x => x.Recommendations);

This will fetch you configured recommendations on personlization portal. Similarly we can get recommendations wherever required. 

Here is the useful resource for enabling tracking for wishlist in commerce - https://github.com/episerver/Quicksilver/blob/master/Sources/EPiServer.Reference.Commerce.Site/Features/Cart/Controllers/WishListController.cs 

Thank you for reading.

Jun 01, 2022

Comments

Please login to comment.
Latest blogs
From Procrastination to Proficiency: Navigating Your Journey to Web Experimentation Certification

Hey there, Optimizely enthusiasts!   Join me in celebrating a milestone – I'm officially a certified web experimentation expert! It's an exhilarati...

Silvio Pacitto | May 17, 2024

GPT-4o Now Available for Optimizely via the AI-Assistant plugin!

I am excited to announce that GPT-4o is now available for Optimizely users through the Epicweb AI-Assistant integration. This means you can leverag...

Luc Gosso (MVP) | May 17, 2024 | Syndicated blog

The downside of being too fast

Today when I was tracking down some changes, I came across this commit comment Who wrote this? Me, almost 5 years ago. I did have a chuckle in my...

Quan Mai | May 17, 2024 | Syndicated blog

Optimizely Forms: Safeguarding Your Data

With the rise of cyber threats and privacy concerns, safeguarding sensitive information has become a top priority for businesses across all...

K Khan | May 16, 2024

The Experimentation Process

This blog is part of the series -   Unlocking the Power of Experimentation: A Marketer's Insight. Welcome back, to another insightful journey into...

Holly Quilter | May 16, 2024

Azure AI Language – Sentiment Analysis in Optimizely CMS

In the following article, I showcase how sentiment analysis, which is part of the Azure AI Language service, can be used to detect the sentiment of...

Anil Patel | May 15, 2024 | Syndicated blog