most citedImproving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2015★ 5 cited

Improving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches

Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee

Term frequency normalization is a serious issue since lengths of documents are various. Generally, documents become long due to two different reasons - verbosity and multi-topicali…