Voting for candidates: adapting data fusion techniques for an expert search task

By Craig Macdonald, Iadh Ounis. International Conference on Information and Knowledge Management, 2006

295 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/890407f5232c43f4087107edeeef87d7959a0b10

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. R. D. Vries
2. Shlomo Geva

In Information Systems

1. Hui Fang
2. R. D. Vries
3. Shlomo Geva
4. Xitong Liu
5. Jimmy J. Lin
6. Chenyan Xiong
7. Jamie Callan
8. Tie-Yan Liu

Citations in the corpus

• Latent entity space: a novel retrieval approach for entity-bearing queries (2015, background): “2006), probabilistic generative models using documents to connect queries and experts (Fang and Zhai 2007), voting based on data fusion across a range of document and field weighting models (Macdonald and Ounis 2006) and proximity based document modeling (Petkova and Croft 2007).”
• TOPSIG: topology preserving document signatures (2011, methodology): “These are JelineckMercer (LMJM) [22], DLH13 [12], Divergence from Randomness [1], and Bose-Einstein [1].”