Essays about: "Semantic Matching"
Showing result 11 - 15 of 27 essays containing the words Semantic Matching.
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11. Fast visual grounding in interaction
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : A big challenge for the development situated agents is that they need to be capable of grounding real objects of their enviroment to representations with semantic meaning, so they can be comunicated to human agents using the human language. de Graaf (2016) developed the KILLE framework, which is a static camerabased robot capable of learning objects and spatial relations from very few samples using image processing algorithms suitable for learning from few samples. READ MORE
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12. Improving movie recommendations through social media matching
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Rekommendationssystem är idag väsentliga för att navigera den enorma mängd produkter tillgängliga via internet. Då social media i form av Twitter vid tidigare tillfällen använts för att generera filmrekommendationer har detta främst varit för att hantera cold-start, ett vanligt drabbande problem för collaborative-filtering. READ MORE
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13. Employee Matching Using Machine Learning Methods
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Expertise retrieval is an information retrieval technique that focuses on techniques to identify the most suitable ’expert’ for a task from a list of individuals. Objectives: This master thesis is a collaboration with Volvo Cars to attempt applying this concept and match employees based on information that was extracted from an internal tool of the company. READ MORE
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14. Semantic Text Matching Using Convolutional Neural Networks
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Semantic text matching is a fundamental task for many applications in NaturalLanguage Processing (NLP). Traditional methods using term frequencyinversedocument frequency (TF-IDF) to match exact words in documentshave one strong drawback which is TF-IDF is unable to capture semanticrelations between closely-related words which will lead to a disappointingmatching result. READ MORE
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15. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC); KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The process of data integration is an important part of the database field when it comes to database migrations and the merging of data. The research in the area has grown with the addition of machine learning approaches in the last 20 years. Due to the complexity of the research field, no go-to solutions have appeared. READ MORE