Topological approach to Wikipedia article recommendation

Opirskyi, Maksym

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dc.contributor.author	Opirskyi, Maksym
dc.date.accessioned	2020-01-29T13:01:42Z
dc.date.available	2020-01-29T13:01:42Z
dc.date.issued	2020
dc.identifier.citation	Opirskyi, Maksym. Topological approach to Wikipedia article recommendation : Master Thesis : manuscript rights / Maksym Opirskyi ; Supervisor Petro Sarkanych, PHD ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 40 p. : ill.	uk
dc.identifier.uri	http://er.ucu.edu.ua/handle/1/1917
dc.language.iso	en	uk
dc.subject	Rank-based evaluation	uk
dc.subject	MAP-based evaluation	uk
dc.subject	Topological approach	uk
dc.title	Topological approach to Wikipedia article recommendation	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Human navigation in information spaces has increasing importance in ever-growing data sources we possess. Therefore, an efﬁcient navigation strategy would give a huge beneﬁt to the satisfaction of human information needs. Often, the search space can be understood as a network and navigation can be seen as a walk on this network. Previous studies have shown that despite not knowing the global network structure people tend to be efﬁcient at ﬁnding what they need. This is usually explained by the fact that people possess some background knowledge. In this work, we explore an adapted version of the network consisting of Wikipedia pages and links between them as well as human trails on it. The goal of our research is to ﬁnd a procedure to label articles that are similar to a given one. Among others, this would lay a foundation for a recommender system for Wikipedia editors, which will suggest links from the given page to the related articles. Our work is, therefore, providing a basement for enhancing the Wikipedia navigation process making it more user-friendly.	uk