@searchtap/recommendation-client
v0.0.8
Published
The library is a thin client for Recommendation APIs for SearchTap. The library can be run both on NodeJS environment or browsers, though slight difference
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The library is a thin client for Recommendation APIs for SearchTap. The library can be run both on NodeJS environment or browsers, though slight difference
Getting Started
First install the client using the NPM or Yarn package manager.
// npm
npm install --save @searchtap/recommendation-client
//yarn
yarn add @searchtap/recommendation-client
//browser
<script src="https://cdn.jsdelivr.net/npm/@searchtap/recommendation-client/lib/index.min.js"></script>
Once installed, initialise the client by passing the API keys and the security token.
Please note that token is only required if you are using the library for NodeJS integration. Never use the token on public facing properties like browsers etc.
// NodeJS
const client = new StRecommendationClient(apiKey:string, token:string);
//browser
const client = new StRecommendationTracker(apiKey:string [, trackAutoEvent:boolean]);
Important Notes
- Timestamps are in ISO8601 format in UTC timezone. If you send any timezone data, those will be converted to UTC.
- All methods return JS promises which are not cancellable.
- Never use your tokens on public facing properties like browser etc.
- Never use identifiable properties like
email
,phone
,ssn
etc as userId for API. If needed, hash them and use hash values to identify a user for API operations.
Methods
Set User
.setUser(userId)
Use the method to explicitly set a user-id which uniquely identifies a user. The value shared should be same as the value sent as part of the users data.
Never user values which can identify a user, such as email, phone, ssn etc. If needed, you should hash such values at your end and then share those with our APIs.
For browser based environment, if no values are passed, the library will create a unique value on its own to track user interaction.
Track Interaction Event
.track(eventName:string, meta:any [, recommendationId:string, recommendationGroup:string])
This is the only event which can be used from browser without
token
. All other methods require bothAPI key
&token
Use this method to send a single interaction event. Each event expects a different form of meta, which is defined below
Send Interactions Data
.saveEvents(eventData[])
Use this to send historic event data in bulk for recommendation engine to process. The schema for eventData
is
{
"userId": "",
"eventName": "",
"timestamp": "",
"meta": {}
}
Send User Data
.saveUsers(users[])
Use this method to send user data in bulk for recommendation engine to process.
{
"userId":"",
"meta": {
...
}
}
Send Items Data
.saveItems(items[])
Use this method to send items data to the recommendation engine. The schema for an item
is
{
"itemId": "",
"title": "",
"meta": {}
}
Tracking Events
Tracking events are the most important aspect of improving recommendations for your app. We recommend tracking following events along with the specific metadata for such events,
Add to Cart
Schema
{
"userId": "",
"eventName": "add-to-cart",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"cartId": "",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": "140.00",
"displayPrice": "130.00",
"currency": "USD" //ISO Code
}
]
}
}
Add to List
Schema
{
"userId": "",
"eventName": "add-to-list",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"listId": "",
"items": [
{
"itemId": "123",
"originalPrice": "140.00",
"displayPrice": "130.00",
"currency": "USD" //ISO Code
}
]
}
}
Category Page View
Schema
{
"userId": "",
"eventName": "category-page-view",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"categories": ["category 1", "category 2"]
}
}
Checkout Start
Schema
{
"userId": "",
"eventName": "checkout-start",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"cartId": "",
"currency": "",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": 140.0,
"displayPrice": 130.0
}
]
}
}
Checkout Complete
Schema
{
"userId": "",
"eventName": "checkout-complete",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"cartId": "",
"currency": "",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": 140.0,
"displayPrice": 130.0
}
],
"costs": {
"shipping": "",
"produce": "",
"tax": ""
}
}
}
Home Page View
Schema
{
"userId": "",
"eventName": "home-page-view",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": ""
}
Product Page View
Schema
{
"userId": "",
"eventName": "product-page-view",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"itemId": ""
}
}
Refund
Schema
{
"userId": "",
"eventName": "refund",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"currency": "",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": 140.0,
"displayPrice": 130.0
}
]
}
}
Remove from Cart
Schema
{
"userId": "",
"eventName": "remove-cart-item",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"cartId": "",
"currency": "",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": 140.0,
"displayPrice": 130.0
}
]
}
}
Remove from List
Schema
{
"userId": "",
"eventName": "remove-list-item",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"listId": "",
"items": [
{
"itemId": "123",
"originalPrice": 140.0,
"displayPrice": 130.0,
"currency": ""
}
]
}
}
Search
Schema
{
"userId": "",
"eventName": "search",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"searchQuery": "Red Shoes"
}
}
Shopping Cart View
Schema
{
"userId": "",
"eventName": "cart-view",
"timestamp": "",
"recommendationId": "",
"recommendationGroup": "",
"meta": {
"cartId": "",
"currency": "USD",
"items": [
{
"itemId": "123",
"quantity": 12,
"originalPrice": 140.0,
"displayPrice": 130.0
}
]
}
}
License
The software is license under the MIT License.