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A Decision Support System for Recommending Products Based on Previous Orders
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

There exists many ways of increasing revenue and selling more products in an ecommerce system. The work in this report presents one way of recommending products based on previous purchases, which if done well may be a good tool in that work.The report describes the work of separating an existing recommender solution into its own system and then extending it by adding a layer of personalization. The personalization is done with a clustering technique and used to provide customers with relevant recommendations.

Place, publisher, year, edition, pages
2015. , 37 p.
Keyword [en]
Keyword [sv]
URN: urn:nbn:se:ltu:diva-58532Local ID: f1b9116e-afd6-4788-a002-a8b35df5861bOAI: diva2:1031920
Subject / course
Student thesis, at least 15 credits
Educational program
Computer Science and Engineering, bachelor's level
Validerat; 20150626 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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Nilsson, Samuel

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