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ECIR
2008
Springer

Use of Implicit Graph for Recommending Relevant Videos: A Simulated Evaluation

8 years 11 months ago
Use of Implicit Graph for Recommending Relevant Videos: A Simulated Evaluation
In this paper, we propose a model for exploiting community based usage information for video retrieval. Implicit usage information from a pool of past users could be a valuable source to address the difficulties caused due to the semantic gap problem. We propose a graph-based implicit feedback model in which all the usage information can be represented. A number of recommendation algorithms were suggested and experimented. A simulated user evaluation is conducted on the TREC VID collection and the results are presented. Analyzing the results we found some common characteristics on the best performing algorithms, which could indicate the best way of exploiting this type of usage information.
David Vallet, Frank Hopfgartner, Joemon M. Jose
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ECIR
Authors David Vallet, Frank Hopfgartner, Joemon M. Jose
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