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Recommendation system for online social network
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2006 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Although there has been much work done in the industry and academia on developing the theory and application of social networks as well as recommender systems, the relation between these research areas is still unclear. An innovative idea, which enables to integrate these areas, and applies recommendation systems to the online social network systems, is proposed in this thesis. Recommendation systems for social networks differ from the typical kinds of recommendation solutions, since they suggest human beings to other ones rather than inanimate goods. Thus, conventional recommendation methods should be enhanced by social features of the networks and their members. This thesis presents the result of the study on the recommendation framework for virtual communities. It also contains an overview of recent approaches to recommendation systems and social networks, as well as description of the online social network systems.

Place, publisher, year, edition, pages
2006. , 94 p.
Keyword [en]
Social Networks, Online Social Network Systems, Personalized Recommender System
National Category
Sociology Computer Science
Identifiers
URN: urn:nbn:se:bth-4105Local ID: oai:bth.se:arkivexF65807177C348B54C12571D7007078B9OAI: oai:DiVA.org:bth-4105DiVA: diva2:831428
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2015-04-22 Created: 2006-08-27 Last updated: 2015-06-30Bibliographically approved

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fulltext(2395 kB)743 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf