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

dc.contributor.authorSuorra, Jacob Hagstedt Persson
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:55:04Z
dc.date.available2019-07-03T13:55:04Z
dc.date.issued2016
dc.description.abstractWe 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.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/238024
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleInformation retrieval in instant messaging platforms using Recurrent Neural Networks Assisting Discussion Forum Users Using Deep Learning
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc

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