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11

ICWSM
2008

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Recommendation of Multimedia Items by Link Analysis and Collaborative Filtering

13 years 6 months ago

Recommendation of Multimedia Items by Link Analysis and Collaborative Filtering

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We investigate two recommendation approaches suitable for online multimedia sharing services. Our first approach, UserRank, recommends items by global interestingness irrespective of user preferences and is based on the analysis of ownership and evaluation link structure. We also present a personalized interestingness algorithm that combines UserRank with collaborative filtering which enables a single parameter to control the degree of personalization in the recommendations. Our initial results from an informal user study are encouraging.

Davin Wong, Ella Bingham, Saara Hyvönen

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Evaluation Link Structure | Global Interestingness Irrespective | ICWSM 2008 | Internet Technology | Multimedia Sharing Services |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2008
Where	ICWSM
Authors	Davin Wong, Ella Bingham, Saara Hyvönen

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