Abstract
We report on the University of Lugano’s participation in the Contextual Suggestion track of TREC 2013 for which we submitted two runs. In particular we present our approach for contextual suggestion which very carefully constructs user profiles in order to provide more accurate and relevant recommendations. The evaluations of our two runs are reported and compared to each other. Based on the track evaluations we demonstrate that our system performs very well in comparison to other runs submitted to the track, managing to achieve the best results in nearly half of all runs
Original language | English |
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Title of host publication | The Twenty-Second Text REtrieval Conference (TREC 2013) Proceedings |
Publisher | NIST |
Publication status | Published - 2013 |
Event | Proceedings of The Twenty-Second Text REtrieval Conference, TREC 2013, Gaithersburg, Maryland, USA, November 19-22, 2013 - Duration: 1 Jan 2013 → … |
Conference
Conference | Proceedings of The Twenty-Second Text REtrieval Conference, TREC 2013, Gaithersburg, Maryland, USA, November 19-22, 2013 |
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Period | 1/01/13 → … |