Tamber.js makes it easy to put machine learning personalization into your app or website.
Just start tracking events (user-item interactions) and then get blazing fast, head-scratchingly accurate recommendations for your users.
Get a free api key to create your first project.
Checkout our Quick Start guide for setup instructions, or our full API documentation.
Just paste this snippet into your html header:
<script type="text/javascript">
var s=document.createElement("script");s.type="text/javascript",s.src="https://js.tamber.com/1.0.13/tamber.min.js",s.async=!0,document.getElementsByTagName("head")[0].appendChild(s),s.onload=s.onreadystatechange=function(){
window.tamber = window.tamber("YOUR_PROJECT_KEY");
window.tamber.trackGuests(true);
};
</script>Be sure to replace YOUR_PROJECT_KEY with your Tamber project's publishable key (available in the dashboard).
Tamber learns from user behaviors, so to get started all you need to do is track Events (user-item interactions) just as you would for any analytics service.
If you are using a templating language to generate your pages, call this method from the footer of every page.
// example syntax
<% if user_signed_in? %>
window.tamber.setUser(%=user_id%);
<% end %>If you retrieve the user's unique ID from your backend on page load, add the method call wherever that retrieval is handled.
window.tamber.setUser("user_id");Track all events (user-item interactions in your app like 'clicked', 'shared', 'purchased', etc.) to your project in real time, just like you would for a data analytics service. Note that novel users and items will automatically be created.
window.tamber.event.track({
item: {
id: "item_wmt4fn6o4zlk",
properties: {
type: "book",
title: "The Moon is a Harsh Mistress",
img: "https://img.domain.com/book/The_Moon_is_a_Harsh Mistress.jpg"
},
tags: ["sci-fi", "bestseller"]
},
behavior: "shared",
context: {
"page": "homepage",
"section": "featured_section"
}
});Just start streaming events for the behaviors in your app, then kick back and wait for the data to accumulate (~1-2 weeks) before moving ahead with recommendations.
Once you have tracked enough events and created your engine, it is time to put personalized recommendations in your app.
Often it is ideal to handle recommendation retrieval from the backend as part of normal page loading. If you would prefer to handle this in the backend, checkout our other SDKs, including Ruby, golang, python, and Java.
Tamber.js provides full support for loading recommendations directly from Tamber.
Put personalized recommendations on your homepage, or in any recommended section, by calling forYou with the number of recommendations you want to display.
// supply the exact number of items to be displayed
window.tamber.forYou(10, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the items to display in the user's 'For You' section
});Keep users engaged by creating a path of discovery as they navigate from item to item. Just add the id of the item that the user is navigating to / looking at and the number of items to display.
window.tamber.upNext("item_wmt4fn6o4zlk", 14, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the items to display in the 'Up Next' section of the item page
});Tamber's recommendations are optimized for the exact moment and context of the user at the time of request, so standard pagination is not possible. Instead, forYou and upNext use automatic continuation to allow you to 'show more' or implement infinite scrolling.
When you want to add more recommendations to those currently displayed to the user, just call moreForYou or moreUpNext. Tamber will automatically generate the set of items that should be appended to the current user-session's list. The user-session is reset when either forYou or upNext is called.
window.tamber.moreForYou(10, function(err, discoveries) {
// handle discoveries
});
window.tamber.moreUpNext("item_wmt4fn6o4zlk", 20, function(err, discoveries) {
// handle discoveries
});Help your users keep their fingers on the pulse of your platform by showing them the hottest, most popular, newest, or most up-and-coming items.
window.tamber.discover.hot({}, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the hottest (trending) items
});
window.tamber.discover.popular({}, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the most popular items
});
// BETA endpoints
window.tamber.discover.uac({}, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the most up-and-coming items
});
window.tamber.discover.new({}, function(err, discoveries) {
err; // null if no error occurred
discoveries; // the newest items
});Released under the MIT license.