- 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 recommendations 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 of 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

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
Valerio Piccioni
AI Engineer
LARUS Business Automation

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