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Applying questionanswering for the Mendeley Search Engine to improve user search experience

Zhang, K. (2020) Applying questionanswering for the Mendeley Search Engine to improve user search experience.

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Abstract:One of Elsevier’s products, Mendeley, has a search function for users. As an academic social network and service provider for academic researchers, the search function is designed for finding publications. Some users however type in questions which are not relevant to academic publications into the search box. Besides, the query isn't keyword-based, which raises a search problem. In this project, we will investigate how to use question answering techniques to address this problem and improve user experience. The proposed system consists of various question answering models and a user test.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/82762
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