Information retrieval in instant messaging platforms using Recurrent Neural Networks Assisting Discussion Forum Users Using Deep Learning

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/238024
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Type: Examensarbete för masterexamen
Master Thesis
Title: Information retrieval in instant messaging platforms using Recurrent Neural Networks Assisting Discussion Forum Users Using Deep Learning
Authors: Suorra, Jacob Hagstedt Persson
Abstract: We present a discussion forum assistant based on deep recurrent neural networks (RNNs). The assistant is trained to perform three different tasks when faced with a question from a user. Firstly, to recommend related posts. Secondly, to recommend other users that might be able to help. Thirdly, it recommends other channels in the forum where people may discuss related topics. Our recurrent forum assistant is evaluated experimentally by prediction accuracy for the end–to–end trainable parts, as well as by performing an end-user study. We conclude that the model generalizes well, and is helpful for the users.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/238024
Collection:Examensarbeten för masterexamen // Master Theses



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