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  3. Software Project (MTAT.03.138)
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Software Project 2018/19 fall

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Javascript Adapter for STACC Recommendation System

Kristjan Eljand, STACC OÜ

Background

STACC has built a AI-based recommendation system that helps to guide web-users towards the items that are relevant to them. For example: it shows you newspaper articles that fit your profile, recommends you items that you might want to buy, gives you job-openings that might fit your profile. In this project, you will have an opportunity to enhance the current solution.

Why?

The current Web-environment and recommendation system need to communicate with each other. Currently, we are using API to make a connection but it needs heavy involvement of developers. Javascript adapter would make the usage of recommendation system as easy as using Google analytics.

What?

In this project, you will develop a Javascript snippet that is able to send user events (clicks, add-to-cart, purchase) with item information and show recommendations in website.

Conditions

The work will be open-source. STACC team will guide throughout the project so that you would have clear understanding of how our recommendation system and API works.

Benefits

Partial-time workplace in STACC-office, Monetary bonus to each team member if the team is able to achieve the outcome (300-700 €, depending on the outcome quality).

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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