Essays about: "informationssökning"
Showing result 1 - 5 of 54 essays containing the word informationssökning.
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1. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE
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2. “You just don’t expect serious crisis information on a platform like Instagram.” : A qualitative study about Swedish civilians’ social media usage and information seeking behaviours in relation to crisis information.
University essay from Karlstads universitet/Institutionen för geografi, medier och kommunikation (from 2013)Abstract : This qualitative study investigates people's media use and engagement on social media. By combining prompts material and qualitative interviews with theories such as the social mediated crisis communication model (Austin et al., 2012) and uses and gratifications theory (Katz et al. READ MORE
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3. Re-ranking search results with KB-BERT
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis aims to determine if a Swedish BERT model can improve a BM25 search by re-ranking the top search results. We compared a standard BM25 search algorithm with a more complex algorithm composed of a BM25 search followed by re-ranking the top 10 results by a BERT model. READ MORE
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4. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE
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5. Evaluating Transfer Learning Models on Synthetic Data for Beverage Label Image Retrieval : A Comparative Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Information retrieval is a research area that has seen improvements with the development of deep learning and artificial neural networks. The vast amount of image data available today has made it possible to train computer vision models for efficient image search. READ MORE