Sökning: "Axel Wiebe Werner"

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1. 1. GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Axel Orrenius; Axel Wiebe Werner; [2022]
   Nyckelord :Alternating Least Squares; Collaborative Filtering; Machine Learning; Random Indexing; Rapid-Delivery; Product Recommendations;

   Sammanfattning : The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online experience. LÄS MER