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1. 1. Comparasion of recommender systems for stock inspiration

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Nils Broman; [2021]
   Nyckelord :recommender system; Matrix Factorization; LightGCN; Investments;

   Sammanfattning : Recommender systems are apparent in our lives through multiple different ways, such asrecommending what items to purchase when online shopping, recommending movies towatch and recommending restaurants in your area. This thesis aims to apply the sametechniques of recommender systems on a new area, namely stock recommendations basedon your current portfolio. LÄS MER