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MEREBO: A web mart aggregator for multi-source entity resolution and basket optimization

Misokalos Ioannis

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URI: http://purl.tuc.gr/dl/dias/399653D0-252A-4A6B-BE51-4673D60DD8BB
Year 2023
Type of Item Diploma Work
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Bibliographic Citation Ioannis Misokalos, "MEREBO: A web mart aggregator for multi-source entity resolution and basket optimization", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023 https://doi.org/10.26233/heallink.tuc.96586
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Summary

Today, more than ever, we can observe the facilitation of trading provided by the ability of the internet to connect - directly or indirectly - the distributor and the consumer. Many stores have taken to the electronic side of things, and have set up e-shops, to more easily provide their services to their buyers. As proven by the recent health crisis, the benefits of such stores are many, and the business is growing to a degree that has started to overshadow its physical counterpart, incentivising more and more businesses to set up their own electronic stores. This, however poses a problem for the consumer. While the decision of where to obtain our goods had been based on factors such as proximity to our homes, availability of certain products, etc., now we have at our discretion a plethora of equally convenient options that make our decision all the more difficult. To this end, a newer service model has been introduced. A medium that collects data from multiple stores, provides the user with the available options and helps them make the best decision based on their needs. In this thesis, we aim to create such a model of service. MEREBO stands for Multi-source Entity REsolution and BasketOptimization. This app model attempts to collect and store grocery store product data in a database, compare and match the products between them, showcase those matches to the user of the app, and provide them with an optimization option in their basket, so that they may have the best shopping experience.

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