Developing a recommender system for an online grocery store

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has title::Developing a recommender system for an online grocery store
status: ongoing
Master: project within::Technical Artificial Intelligence
Student name: student name::Lennert Gijsen
Dates
Start start date:=2015/06/08
End end date:=2016/01/29
Supervision
Supervisor: Guszti Eiben
Company: has company::Picnic
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

The goal of this project is to develop a recommender system that will personalize an online grocery retail environment. Over the last years, retail for slow-moving product categories such as books, electronics and fashion gained significant online share whereas grocery retail did not. A major reason is that the average online shopping time takes too long. Developing a product recommender system can help reduce the time that online shoppers need to find the products they are looking for.