Home

Table of Contents Arsitektur Recommendations AI Tag Manager Konfigurasi Pengembangan Referensi

Arsitektur

• Google Trends API for Python

Recommendations AI

• Google Tag Manager
• Recording user events

Rekomendasi AI memberikan rekomendasi yang dipersonalisasi yang sesuai dengan selera dan preferensi setiap pelanggan di semua titik kontak Anda dan integrasi dengan Google Tag Manager, Google Shopping, Google Cloud Storage, and BigQuery.

Tag Manager

Sampel:

dataLayer = dataLayer || [];
  dataLayer.push({
    'automl': {
      'eventType' : 'detail-page-view',
      'userInfo': {
        // In most cases the user and visitor id fields can be populated
        // from a client side JavaScript variable, for example a cookie.
        // If you set the user and/or visitor id values from the server
        // populate the `userId` and/or `visitorId` fields here.
      },
      'eventDetail': {
        'recommendationToken': 'recommendation-token'
        // In most cases the experiment id field is populated from a
        // client side JavaScript variable as defined by the experiment
        // manager.
        // Otherwise if you set the experiment id value from the server
        // populate the `experimentIds` field here.
      },
      'productEventDetail': {
         'productDetails': [{
           'id': '123',
           'originalPrice': 140.00,
           'displayPrice': 130.00,
           'currencyCode':'USD'
          }
        ]
      }
    },
    // You can use the 'automl' data layer element along with other
    // data layer elements.
    'ecommerce': {
      ...
    },
  }];

Konfigurasi

Pengembangan

Referensi

• Recommendations AI overview