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Edgar Meij

semantic search research ッ

  • Publications
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Tag: Topic modeling

Trade-off between diversity and precision

Result diversification based on query-specific cluster ranking

20/03/2011 Journal Papers Publications No Comments
Result diversification is a retrieval strategy for dealing with ambiguous or multi-faceted queries by providing documents that cover as many facets of the query as possible. We propose a result diversification framework based on query-specific clustering and cluster ranking, in which diversification is restricted to documents belonging to clusters that…
TREC

Heuristic Ranking and Diversification of Web Documents

20/01/2010 Publications Unrefereed No Comments
We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the web track at TREC 2009. We participated in the adhoc and diversity task. We find that spam is an important issue in the ad hoc task and that Wikipedia-based heuristic optimization approaches help to boost the…
TREC

Topical Diversity and Relevance Feedback

20/01/2010 Publications Unrefereed No Comments
We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the relevance feedback track at TREC 2009. Our main conclusion for the relevance feedback track is that a topical diversity approach provides good feedback documents. Further, we find that our relevance feedback algorithm seems to help most…
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This is the website of Edgar Meij. I lead several groups of researchers and engineers at Bloomberg working on knowledge graphs, question answering, information retrieval, machine learning, and more…

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