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  • Start Time:
    04:20PM
  • End Time:
    04:40PM
  • Day:
    Day 1

Talk:

Graph AI can achieve the state of the art on many machine learning tasks regarding relational data. One of them is recommendation which can be found in a lot of services such as content streaming, shopping or social media. We developed, together with Fujitsu Research, a performance-based Graph AI solution that takes advantage from the graph to do better recommendations and we tested it against a real retail fashion dataset.

Associated Speakers:

Alberto De Lazzari

Chief Scientist

LARUS Business Automation

Associated Talks:

04:20PM - Day 1

View VIRTUAL PRESENTATION: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

04:20PM - Day 1

View Presentation: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

View Full Info

Valerio Piccioni

AI Engineer

LARUS Business Automation

Associated Talks:

04:20PM - Day 1

View VIRTUAL PRESENTATION: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

04:20PM - Day 1

View Presentation: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

View Full Info