Topological approach to Wikipedia article recommendation

Show simple item record Opirskyi, Maksym 2020-01-29T13:01:42Z 2020-01-29T13:01:42Z 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.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

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