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User- and system initiated approaches to content discovery
Linnaeus University, Faculty of Technology, Department of Computer Science.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Social networking has encouraged users to find new ways to create, post, search, collaborate and share information of various forms. Unfortunately there is a lot of data in social networks that is not well-managed, which makes the experience within these networks less than optimal. Therefore people generally need more and more time as well as advanced tools that are used for seeking relevant information. A new search paradigm is emerging, where the user perspective is completely reversed: from finding to being found. The aim of present thesis research is to evaluate two approaches of identifying content of interest: user-initiated and system-initiated. The most suitable approaches will be implemented. Various recommendation systems for system-initiated content recommendations will also be investigated, and the best suited ones implemented. The analysis that was performed demonstrated that the users have used all of the implemented approaches and have provided positive and negative comments for all of them, which reinforces the belief that the methods for the implementation were selected correctly. The results of the user testing of the methods were evaluated based on the amount of time it took the users to find the desirable content and on the correspondence of the result compared to the user expectations.

Place, publisher, year, edition, pages
2015. , 31 p.
Keyword [en]
user-initiated content discovery, system-initiated content discovery, content-based filtering, collaborative filtering, recommender systems
National Category
Computer Science
URN: urn:nbn:se:lnu:diva-40674OAI: diva2:793853
Educational program
Software Technology Programme, Master Programme, 120 credits
Available from: 2015-03-10 Created: 2015-03-09 Last updated: 2015-03-10Bibliographically approved

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