Essays about: "entity matching"
Showing result 1 - 5 of 13 essays containing the words entity matching.
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1. Facilitating Corporate Social Innovation in Partnerships : A multiple case study on the origin of corporate social innovation in partnerships
University essay from Jönköping University/Internationella HandelshögskolanAbstract : Background: The increase in public awareness and rising social expectations have changed the role businesses have in modern society, as they are expected to deliver both organizational and social value. Despite this, most social engagements have previously been philanthropic, which is argued to only scratch the surface of societal issues. READ MORE
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2. Finding duplicate offers in the online marketplace catalogue using transformer based methods : An exploration of transformer based methods for the task of entity resolution
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The amount of data available on the web is constantly growing, and e-commerce websites are no exception. Considering the abundance of available information, finding offers for the same product in the catalogue of different retailers represents a challenge. This problem is an interesting one and addresses the needs of multiple actors. READ MORE
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3. Implementation of an abstract module for entity resolution to combine data sources with the same domain information
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Increasing digitalization is creating a lot of data every day. Sometimes the same real-world entity is stored in multiple data sources but lacks common reference. This creates a significant challenge on the integration of data sources and may cause duplicates and inconsistencies if not resolved correctly. READ MORE
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4. Entity resolution (ER) from multiple data sets
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Entity resolution (ER) within or between datasets is a challenging problem. In this report, we propose a novel methodology and an algorithm to match entities from a canonical dataset, i.e. the data is correct, complete and accurate, to a non canonical dataset (social media website) where the data may be missing or invalid. READ MORE
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5. Automatic Identification of Duplicates in Literature in Multiple Languages
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : As the the amount of books available online the sizes of each these collections are at the same pace growing larger and more commonly in multiple languages. Many of these cor- pora contain duplicates in form of various editions or translations of books. READ MORE