product recommendation engine
Vue.ai Personalization Engine
ClosetPilot
PrimeLister
Dynamic Yield
PosherVA
Pudding.ai
Algolia
ElasticSearch
Algolia
Apache Solr
Typesense
Site Search 360
Swiftype
Meilisearch
Swiftype Site Search
Vue.ai’s Product recommendation engine tracks website shoppers' behaviour based on their user behaviour. We tracked their historical and live data and based on that we provide product recommendations to them. Every shopper should delight in getting an individualized shopper experience. personalized recommendations that convert 120% better.
Drive growth with personalized product recommendations. Make every customer feel special with 1:1 curated & personalized recommendations that convert 120% better.A personalized experience at every touchpoint. Delight every shopper with truly individualized shopper experiences and grow your revenue. Vue.ai’sProduct recommendation engine can provide personalized recommendations for every shopper across their journey on an eCommerce site.
product recommendation engine ElasticSearchBased on our record, ElasticSearch should be more popular than product recommendation engine. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use Case I: Getting the Ensemble That Compliments the Product The shopper can view the curated looks and ensembles on the Product Detail Page (PDP) of each item. If an item is not available, the Vue.ai engine proposes a similar item: Use Case II: Recommend Complimentary Items The product recommendation engine also suggests complementary items to shoppers, based on their price preferences: Use Case III:... - Source: dev.to / over 2 years ago
The journey of understanding customer intent begins with the first click. For instance, a black cocktail dress could, in some sense, convey that the buyer is looking for an item for a specific occasion, with a specific length, colour, pattern or style. Integrating Visually Similar product recommendations (product recommendation engine)on the product page instantly opens up all possible black dresses a shopper can... Source: over 2 years ago
Product recommendation engine — Here’s a scenario for you: You’ve found the perfect “match” on Tinder, and want to make an impression on your first date. You want to start off by looking for a shirt and find one that you really like. So you click on it to look at its product detail page. Source: over 2 years ago
When shoppers use styling recommendations (product recommendation engine), they aren’t just buying clothes. They are buying a fashion story. Instead of buying just a red dress, your shopper is now going to be buying the dress, a clutch, a blazer, accessories, and heels that will make her feel ready from head to toe for the party she was shopping for. The entire outfit is also curated in a way that not only does... Source: over 2 years ago
What surprised me is that on the Azure store, the only option I see is (Pay as you go), whereas on elastic.co there are the standard platinum and enterprise tiers followed by a where to deploy page and a pricing overview. Source: 12 months ago
Can anyone help me how to upload custom hunspell stemmer files to elastic cloud (elastic.co)? According to elastic docs it should go under elasticsearch/config/hunspell, but according to cloud docs I should upload it via features/extension tab. So I tried zipping the hunspell folder and uploading it. I also figured out that it should be in the dictionaries folder, but after uploading it still doesn't work. Source: about 1 year ago
I can't figure out where I have to go to get more or less of a custom, premium website. I should mention that I look up to websites like elastic.co for example, would be very happy with something like that. I could really use some guidance! Source: over 1 year ago
Elastic | Multiple software engineering roles | REMOTE (EMEA) | Full-time | https://elastic.co Elastic offers solutions for security and observability that are built on a single, open technology stack that can be deployed anywhere. Elastic Security enables security teams to prevent, detect, and respond to attacks with a solution built atop the speed and reliable of the Elastic stack. The Security External... - Source: Hacker News / over 1 year ago
I have been trying to digest the elastic.co website to try to understand how we can use elastic search, but I've come to a point where I'm not sure which part of elastic, (if any) makes sense for us. In fact I am royally confused. I wonder if anyone here can help clarify? Source: almost 2 years ago
Vue.ai Personalization Engine - Use the power to A.I. to build personalized shopping journeys for every shopper on your site - increasing conversions, engagement and reduce bounce rate.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
ClosetPilot - ClosetPilot lets you automatically share your closet, follow and unfollow users, and generate more sales on Poshmark
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
PrimeLister - PrimeLister develops software that makes the lives of resellers easier. Poshmark Automation, Crosslisting, relisting. All solutions in one place.
Typesense - Typo tolerant, delightfully simple, open source search 🔍
