Tomaz Pozrl

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This paper presents two different methods for diversifying recommendations that were developed as part of the ESWC2014 challenge. Both methods focus on post-processing recommendations provided by the baseline recommender system and have increased the ILD at the cost of final precision (measured with F@20). The authors feel that this method has potential yet(More)
This paper presents three different methods for diversifying search results, that were developed as part of our user modelling research. All three methods focus on post-processing search results provided by the baseline recommender systems and increase the diversity (measured with ILD@20) at the cost of final precision (measured with F@20). The authors feel(More)
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