
Query expansion is commonly used to combat the vocabulary mismatch problem, it bridges the disparity between the vocabulary used in the corpus and search queries. However, if expansion terms are not chosen carefully, there is a risk of including spurious expansion terms, which can broaden the potential interpretations of the modified query. Unintentionally increasing the semantic ambiguity in this way is known as query drift.In this short paper we propose using the query context to inform the expansion term selection process. Using WordNet as an initial source of expansion terms, we refine the candidate expansions by discriminating relevancy. We found that our term selection process is more effective than the standard approach. Our technique targets terms which relate to the entire query as a whole, but predominately focuses on excluding spurious expansion terms. Both help reduce query drift and increase query performance.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
