Name
Abstract | ||
|---|---|---|
Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets for expert search that use conference workshops for relevance assessment. Our data sets cover entire research domains as opposed to single institutions. In addition, they provide a larger number of topic-person associations and allow a more objective and fine-grained evaluation of expertise than existing data sets do. We present and discuss baseline results for a language modelling and a topic-centric approach to expert search. We find that the topic-centric approach achieves the best results on domain-specific datasets. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2508497.2508501 | CompSci@CIKM |
Keywords | Field | DocType |
baseline result,workshop program committee,fine-grained evaluation,expert search,benchmark datasets,best result,topic-centric approach,domain-specific expert search,entire research,relevance assessment,domain-specific datasets,benchmark | Data science,Data mining,Data set,Information retrieval,Computer science,Language modelling,Benchmarking | Conference |
Citations | PageRank | References |
3 | 0.39 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgeta Bordea | 1 | 78 | 8.12 |
| Toine Bogers | 2 | 370 | 35.89 |
| Paul Buitelaar | 3 | 994 | 121.79 |