Abstract
In this paper, we describe our participation in the INEX 2011 Social Book Search track. We investigate the contribution of different types of document metadata, both social and controlled, and examine the effectiveness of re-ranking retrieval results using social features. We find that the best results are obtained using all available document fields and topic representations.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Number of pages | 12 |
Volume | 7424 LNCS |
Publisher | Springer |
Publication date | 1 Jan 2012 |
Pages | 45-56 |
ISBN (Print) | 9783642357336 |
DOIs | |
Publication status | Published - 1 Jan 2012 |
Externally published | Yes |