Wednesday, Jul. 22, 2020 | 11:00 AM - 4:00 PM UTC+8

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Thursday Nov 15,2018

3:00 PM - 4:00 PM UTC+2


The key ingredient to a business success is to understand the needs and point of view of your customers. Learning that individual customers have different preferences, spending habits and even browsing patterns will allow retailers to generate offers that cater to their needs.

Find out how does Recommendation Engine solutions based on advanced data-driven techniques, can help online retailers to improve customer's purchases and create loyalty. This webinar will share how customer recommendations can be identified using Collaborative Filtering, with step by step instructions during the hands-on demo application.


Recommendation Engine
1) Business Scenario
2) Business Challenges
3) Data Requirements
4) Recommendation Engine Solution
5) Solution Components
6) Solution Architecture

Hands-on Demo
7) Collaborative Filtering
8) Products in Scope
9) Demo Architecture
10) Demo Steps
11) Step by Step Hands-on
12) References


  • Sijukumar Kumaran

    Staff Solution Architect, Alibaba Cloud

    Sijukumar Kumaran is a Staff Solution Architect of Alibaba Cloud with more than 15 years of experience in the Cloud Industries focusing on cloud infrastructure.

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